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This commit is contained in:
matthias@quintern.xyz 2025-01-26 19:58:40 +01:00
parent cc805c0166
commit 8fcb948ecc
33 changed files with 1322 additions and 1362 deletions
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17
.gitignore vendored Normal file
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*.pdf
*.html
*.js
*benchmarks
*build*
docs
include
*.so
*.py
mps
src-alloc-debug/
src-eigen-opt/
src/.old
src/pch.hpp.gch
test-python/
web/

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.gitmodules vendored Normal file
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[submodule "lambda-lanczos"]
path = lambda-lanczos
url = https://github.com/mrcdr/lambda-lanczos
[submodule "src/spectra"]
path = spectra
url = https://github.com/yixuan/spectra

1
lambda-lanczos Submodule

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Subproject commit d45baddc4239dd1de3f0091ce495920b57a3fd5e

1
spectra Submodule

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Subproject commit a29f37fe3ed1c2895b07b449fcb8f09bc0940e40

2
src/.clangd
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@ -1,3 +1,3 @@
CompileFlags: # Tweak the parse settings
Add: [ -std=c++23, -Wall, -Wpedantic, -IFastor, -I., -I.., -I../include, -Imodels, -I../models, -Ialgorithms, -DEMSCRIPTEN ]
Add: [ -std=c++23, -Wall, -Wpedantic, -IFastor, -I., -I.., -Imodels, -I../models, -Ialgorithms, -iprefix ~/Projekte/science/cpp-mps/ -iwithprefix include -iwithprefix lambda-lanczos/include -iwithprefix spectra/include -DEMSCRIPTEN ]
# https://clangd.llvm.org/config

4
src/.doxygen_config
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@ -965,7 +965,7 @@ WARN_LOGFILE =
# spaces. See also FILE_PATTERNS and EXTENSION_MAPPING
# Note: If this tag is empty the current directory is searched.
INPUT = .
INPUT = . models algorithms wasm
# This tag can be used to specify the character encoding of the source files
# that Doxygen parses. Internally Doxygen uses the UTF-8 encoding. Doxygen uses
@ -2087,7 +2087,7 @@ PAPER_TYPE = a4
# If left blank no extra packages will be included.
# This tag requires that the tag GENERATE_LATEX is set to YES.
EXTRA_PACKAGES = {amsmath}
EXTRA_PACKAGES = {amsmath} {bbm}
# The LATEX_HEADER tag can be used to specify a user-defined LaTeX header for
# the generated LaTeX document. The header should contain everything until the

64
src/Makefile
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@ -9,19 +9,34 @@ WEBEXEC = ~/Projekte/web/html-quintern/src/script/mps/mps-wasm.js
# LOG_LEVEL = LOG_LEVEL_0
CXX = /usr/bin/g++
CXXFLAGS = -std=c++23 -MMD -MP -Wpedantic -Wall #-O3: optimierungsstufe 3, -MMD .d files, -MP leeres Target, Wextra alle Warnungen
CXXDEBUGFLAGS = -g -fsanitize=address -fno-omit-frame-pointer -O1
CXXDEBUGFLAGS = -g -fno-omit-frame-pointer -O1
# CXXDEBUGFLAGS += -fsanitize=address
WEBCXX = em++
WEBCXXFLAGS = --cache "$(WEBOBJECT_DIR)/emscripten-cache" -Wno-c++11-narrowing -Wno-unused-main -DEMSCRIPTEN
WEBCXXDEBUGFLAGS = -gsource-map -g2 -O0
WEBLDFLAGS = -s EXPORTED_FUNCTIONS="['_free']" -s ASYNCIFY -s EXPORTED_RUNTIME_METHODS="['cwrap', 'getValue']" -lembind -s INITIAL_MEMORY=2GB -s ALLOW_MEMORY_GROWTH=1
# the TEST___FLAGS will be made available with the getBuildOptions() function in webassembly for benchmarking purposes
# TESTCXXFLAGS = -g -ffast-math
# TESTCXXFLAGS = -g -fno-math-errno
TESTCXXFLAGS = -msimd128 # concurrency, TODO: check if does something
# TESTCXXFLAGS += -g
# TESTCXXFLAGS += -s INVOKE_RUN=0
# TESTLDFLAGS = -ffast-math
# TESTLDFLAGS += --closure 1
TESTLDFLAGS = -s ASSERTIONS=1 -s NO_DISABLE_EXCEPTION_CATCHING -g2
WEBCXXDEBUGFLAGS = -gsource-map -g3 -O0 -s ASSERTIONS=2
WEBLDFLAGS = -lembind -s ASYNCIFY -s EXPORTED_RUNTIME_METHODS="['cwrap', 'getValue']" -s INITIAL_MEMORY=2GB -s ALLOW_MEMORY_GROWTH=1
# WEBLDFLAGS += -s STACK_SIZE=131072 -sINVOKE_RUN=0 #-sSTACK_OVERFLOW_CHECK=1 #-s ASSERTIONS=2 # TODO remove
WEBLDFLAGS += -s STACK_SIZE=331072 -sINVOKE_RUN=0 #-sSTACK_OVERFLOW_CHECK=1 #-s ASSERTIONS=2 # TODO remove
WEBLDRELEASEFLAGS = -sDISABLE_EXCEPTION_CATCHING
# treated as error by em++
LDFLAGS = #-lgzutil
IFLAGS = -I../include/
LDFLAGS =
# IFLAGS = -I../include/ -I../../lambda-lanczos/include -I../spectra/include
IFLAGS = -iprefix $$HOME/Projekte/science/cpp-mps/ -iwithprefix include -iwithprefix lambda-lanczos/include -iwithprefix spectra/include
SRCDIRS = $(wildcard */)
IFLAGS += $(foreach dir,$(SRCDIRS), -I$(dir))
IFLAGS += $(foreach dir,$(SRCDIRS), -I../$(dir))
# IFLAGS += $(foreach dir,$(SRCDIRS), -I../$(dir))
IFLAGS += -I../ -I./
CXXFLAGS += $(IFLAGS)
@ -33,39 +48,43 @@ CXXFLAGS += $(IFLAGS)
SRC = $(wildcard *.cpp) $(wildcard */*.cpp)
# OBJECTS = $(SRC:%.cpp=$(OBJECT_DIR)/%.o)
OBJECTS = $($(notdir SRC):%.cpp=$(OBJECT_DIR)/%.o)
WEBOBJECTS = $($(notdir SRC):%.cpp=$(WEBOBJECT_DIR)/%.o)
OBJECT_DIRS = $(foreach dir,$(SRCDIRS), $(OBJECT_DIR)/$(dir))
WEBOBJECT_DIRS = $(foreach dir,$(SRCDIRS), $(WEBOBJECT_DIR)/$(dir))
DEPENDS = ${OBJECTS:.o=.d}
WEBOBJECTS = $($(notdir SRC):%.cpp=$(WEBOBJECT_DIR)/%.o)
WEBOBJECT_DIRS = $(foreach dir,$(SRCDIRS), $(WEBOBJECT_DIR)/$(dir))
WEBDEPENDS = ${WEBOBJECTS:.o=.d}
FMT_MESSAGE="\e[1;34m%s\e[0m %s %s %s\n"
# default: CXXFLAGS += -include pch.hpp
# include the makefiles generated by the -M flag
-include $(DEPENDS)
-include $(WEBDEPENDS)
default:
@printf $(FMT_MESSAGE) "CXXFLAGS = " "$(CXXFLAGS)"
@printf $(FMT_MESSAGE) "LDFLAGS = " "$(LDFLAGS)"
default: CXXFLAGS += -include pch.hpp
default: $(EXEC)
web: CXXFLAGS += $(WEBCXXFLAGS)
web: CXXFLAGS += $(WEBCXXFLAGS) $(TESTCXXFLAGS) $(TESTLDFLAGS) -D BUILD_OPTIONS_STRING="\"$(TESTCXXFLAGS) $(TESTLDFLAGS)\""
# web: LDFLAGS += $(WEBLDFLAGS) $(TESTLDFLAGS)
web: $(WEBEXEC)
webDebug: WEBLDFLAGS += -sASSERTIONS
webDebug: CXXFLAGS += $(WEBCXXDEBUGFLAGS)
webDebug: web
webO0: CXXFLAGS += $(WEBCXXFLAGS) -O0
webO0: TESTCXXFLAGS += -O0
webO0: web
webO1: CXXFLAGS += $(WEBCXXFLAGS) -O1
webO1: TESTCXXFLAGS += -O1
webO1: web
webO2: CXXFLAGS += $(WEBCXXFLAGS) -O2
webO2: TESTCXXFLAGS += -O2
webO2: web
webO3: CXXFLAGS += $(WEBCXXFLAGS) -O3
webO3: TESTCXXFLAGS += -O3
webO3: web
webrun: CXXFLAGS += $(WEBCXXFLAGS)
webrun: $(WEBHTML)
cd $(WEBOBJECT_DIR) && emrun $(WEBHTML)
.PHONY: release
release: CXXFLAGS += -O3
release: default
@ -85,8 +104,6 @@ $(EXEC): $(OBJECT_DIRS) $(OBJECTS)
$(WEBHTML) $(WEBEXEC): $(WEBOBJECT_DIRS) $(WEBOBJECTS)
$(WEBCXX) $(WEBOBJECTS) -o $@ $(CXXFLAGS) $(LDFLAGS) $(WEBLDFLAGS)
# include the makefiles generated by the -M flag
-include $(DEPENDS)
# rule for all ../build/*.o files
$(OBJECT_DIR)/%.o: $(shell echo $<) %.cpp
@ -106,7 +123,13 @@ $(OBJECT_DIRS) $(WEBOBJECT_DIRS):
# with debug flags
.PHONY += debug run gdb pch clean docs
MASSIF_OUT=../massif-mps.out
profile: $(EXEC)
valgrind --tool=massif --stacks=yes --massif-out-file=$(MASSIF_OUT) $(EXEC)
ms_print $(MASSIF_OUT) | less
debug: CXXFLAGS += $(CXXDEBUGFLAGS)
# debug: LDFLAGS += -static-libasan
debug: default
# make with debug flags and run afterwards
@ -126,6 +149,7 @@ pch:
# remove all object and dependecy files
clean:
-rm -r $(OBJECT_DIR)
webclean:
-rm -r $(WEBOBJECT_DIR)
docs:
doxygen .doxygen_config

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#include "algorithm.hpp"
template bool postUpdateNoop<dtype>(const MPS<dtype>&, unsigned);

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src/algorithm.hpp Normal file
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#pragma once
#include "mps.hpp"
#include "type.hpp"
#include <functional>
/**
* @brief Type for a function to after one algorithm iteration.
* @details
* The return value states wether the results have converged, thus
* if the function returns `true`, the simulation will stop.
*/
template<typename T>
using postUpdateFunction_t = std::function<bool (const MPS<T>&, unsigned)>;
/**
* @brief Default post update function that does nothing
*/
template<typename T>
bool postUpdateNoop(const MPS<T>&, unsigned) { return false; };

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src/algorithms/dmrg.cpp Normal file
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#include "dmrg.hpp"
#include "lanczos.hpp"
#include "type.hpp"
#include "util.hpp"
#include <lambda_lanczos/lambda_lanczos.hpp>
using lambda_lanczos::LambdaLanczos;
#include <print>
#include <vector>
#include <memory>
#include <cmath>
namespace dmrg {
void HeffTheta(
const e::Tensor<dtype, 3>& LP, // vL wL* vL*
const e::Tensor<dtype, 3>& RP, // vR* wR* vR
const e::Tensor<dtype, 4>& W1, // wL wC i i*
const e::Tensor<dtype, 4>& W2, // wC wR j j*
const std::vector<dtype>& thetaIn,
std::vector<dtype>& thetaOut
) {
assert(thetaIn.size() == LP.dimension(0) * W1.dimension(2) * W2.dimension(2) * RP.dimension(2));
assert(thetaOut.size() == LP.dimension(0) * W1.dimension(2) * W2.dimension(2) * RP.dimension(2));
e::array<e::Index, 4> thetaShape = {LP.dimension(0), W1.dimension(2), W2.dimension(2), RP.dimension(2)};
// Reshape theta into a 4D tensor
e::TensorMap<const e::Tensor<dtype, 4>> thetaTensor(thetaIn.data(), thetaShape); // vL i j vR
// e::Tensor<dtype, 4> x = theta_tensor;
auto LPT = LP.contract(thetaTensor, e::array<iP, 1>({iP{2, 0}})); // vL wL* [vL*], [vL] i j vR
auto LPTW1 = LPT.contract(W1, e::array<iP, 2>({iP{1, 0}, iP{2, 3}})); // vL [wL*] [i] j vR, [wL] wC i [i*]
auto LPTW1W2 = LPTW1.contract(W2, e::array<iP, 2>({iP{3, 0}, iP{1, 3}})); // vL [j] vR [wC] i, [wC] wR j [j*]
auto LPTW1W2RP = LPTW1W2.contract(RP, e::array<iP, 2>({iP{1, 0}, iP{3, 1}})); // vL [vR] i [wR] j, [vR*] [wR*] vR
// assigning to map will assign to underlying std::vector
e::TensorMap<e::Tensor<dtype, 4>> thetaOutMap(thetaOut.data(), thetaShape); // vL i j vR
thetaOutMap = LPTW1W2RP;
// std::println("thetaO: {}", thetaOut);
}
template<typename T>
DMRGEngine<T>::DMRGEngine(MPS<T>& psi, const std::vector<std::shared_ptr<e::Tensor<T, 4>>>& H_mpo,
unsigned chiMax, T eps)
: H_mpo(H_mpo), chiMax(chiMax), eps(eps) {
int L = psi.getL();
LPs.resize(L);
RPs.resize(L);
initialize(psi);
}
template<typename T>
void DMRGEngine<T>::initialize(MPS<T>& psi) {
// Initialize LPs and RPs
int D = H_mpo[0]->dimension(0);
int chi = psi.B(0).dimension(0);
e::Tensor<T, 3> LP(chi, D, chi), RP(chi, D, chi);
LP.setZero();
RP.setZero();
LP.chip(0, 1) = identityTensor<T>(chi, chi);
RP.chip(D - 1, 1) = identityTensor<T>(chi, chi);
LPs[0] = LP;
RPs.back() = RP;
for (int i = psi.getL() - 1; i > 1; --i) {
update_RP(i, psi);
}
}
template<typename T>
void DMRGEngine<T>::sweep(MPS<T>& psi) {
// Sweep left to right
for (unsigned i = 0; i < psi.getL() - 2; ++i) {
update_bond(i, psi);
}
// Sweep right to left
for (unsigned i = psi.getL() - 2; i > 0; --i) {
update_bond(i, psi);
}
}
template<typename T>
void DMRGEngine<T>::update_bond(int i, MPS<T>& psi) {
int j = i + 1;
// std::println("update({})", i);
e::Index d1 = H_mpo[i]->dimension(2);
e::Index d2 = H_mpo[j]->dimension(2);
e::Index chi1 = LPs[i].dimension(0);
e::Index chi2 = RPs[j].dimension(2);
e::Index dim = chi1*d1*d2*chi2;
// 1) Find GS (smallest eigenvalue / vector)
// Approaches 1 and 2 are wrong, because we need a more complicated contraction series
// instead of a reshape + simple matrix product for Heff @ theta
// For i) and ii): create effective hamiltonian
// auto LW = LPs[i].contract(*H_mpo[i], e::array<iP, 1>{iP{1, 0}}); // vL [wL] vL*, [wL] wR i i*
// auto LWW = LW.contract(*H_mpo[j], e::array<iP, 1>{iP{2, 1}}); // vL vL* [wR] i i*, [wL] wR j j*
// auto LWWR = LWW.contract(RPs[j], e::array<iP, 1>{iP{4, 1}}); // vL vL* i i* [wR] j j*, vR* [wR*] vR
// e::Tensor<T, 8> Heff = LWWR;// vL vL* i i* j j*, vR* vR
// printTensorDims(Heff, "Heff");
// printTensor(LPs[i], "LP[i]");
// printTensor(RPs[j], "RP[j]");
// printTensor(*H_mpo[i], "H_mpo[i]");
// printTensor(*H_mpo[j], "H_mpo[j]");
// e::Map<e::MatrixX<T>> HeffMat(Heff.data(), dim, dim); // vL vL* i i*, j j* vR* vR
// std::cout << "HeffMat" << std::endl;
// std::cout << HeffMat << std::endl;
// i) Eigen
// Realllyyyy inefficient, it calculates all eigenvalues and we just need the eigenvector to the
// smallest absolute eigenvalue
// e::SelfAdjointEigenSolver<e::MatrixX<T>> es(HeffMat);
// const e::VectorX<T>& S = es.eigenvalues();
// const e::MatrixX<T>& U = es.eigenvectors();
// std::println("Eigenvalues with eigen:");
// std::cout << S << std::endl;
// std::println("Eigenvector with eigen:");
// std::cout << U.rows() << "x" << U.cols() << std::endl;
// e::Map<const e::MatrixX<T>> U1(U.col(0).data(), chi1*d1, d2*chi2);
// std::cout << "theta2 (eigen)" << std::endl;
// std::cout << U1 << std::endl;
// find the smallest eigenvalue
// e::TensorMap<const e::Tensor<T, 4>> theta(U.data(), chi1, d1, d2, chi2);
// auto [Ai, Sj, Bj] = split_truncate_theta<T>(theta, chiMax, eps);
// auto [Ai, Sj, Bj] = split_truncate_theta<T>(U1, chi1, d1, d2, chi2, chiMax, eps);
// ii) Lanczos
// std::println("Eigenvector with Lanczos:");
// auto [eval, theta2Vec] = lanczos(HeffMat, psi.getTheta2(i));
// e::Map<e::MatrixX<T>> theta2(theta2Vec.data(), chi1*d1, d2*chi2);
// std::cout << theta2.rows() << "x" << theta2.cols() << std::endl;
// std::cout << eval << std::endl;
// std::cout << theta2 << std::endl;
// auto [Ai, Sj, Bj] = split_truncate_theta<T>(theta2, chi1, d1, d2, chi2, chiMax, eps);
// auto theta0 = psi.getTheta2(i);
// printTensor(theta0, "theta0");
// e::Map<e::VectorX<T>> theta0v(theta0.data(), theta0.size());
// std::println("Heff @ theta0");
// e::VectorX<T> v = HeffMat * theta0v;
// std::cout << v << std::endl;
// iii) Lanczos with custom contraction function
e::Tensor<T, 4> theta0 = psi.getTheta2(i);
// Use Theta2 as the initial guess for the GS
auto initF = [&theta0](std::vector<T>& v) {
v.resize(theta0.size());
for (unsigned i = 0; i < theta0.size(); i++) {
v.at(i) = theta0.data()[i]; // TODO find nicer solution
}
// v = std::vector<T>(theta0.data(), theta0.size());
};
auto matmul = [this, i, j](const std::vector<T>& thetaIn, std::vector<T>& thetaOut) {
HeffTheta(this->LPs.at(i), this->RPs.at(j), *(this->H_mpo.at(i)), *(this->H_mpo.at(j)), thetaIn, thetaOut);
};
// TODO set eps
LambdaLanczos<T> engine(matmul, dim, false, 1); // Find 1 maximum eigenvalue
engine.init_vector = initF;
std::vector<double> eigenvalues;
std::vector<std::vector<T>> eigenvectors;
engine.run(eigenvalues, eigenvectors);
e::Map<e::MatrixX<T>> theta2(eigenvectors.front().data(), chi1*d1, d2*chi2);
// std::println("Lanczos ev: {}", eigenvalues);
// e::TensorMap<e::Tensor<T, 4>> theta2T(eigenvectors.front().data(), chi1, d1, d2, chi2);
// printTensor(theta2T, "theta2");
auto [Ai, Sj, Bj] = split_truncate_theta<T>(theta2, chi1, d1, d2, chi2, chiMax, eps);
// 2) Truncate
// printTensor(Ai, "Ai");
// printTensor(Sj, "Sj");
// printTensor(Bj, "Bj");
// std::cout << "a: " << a.dimensions() << "\nA: " << Ai.dimensions() << "\nS: " << Sj.dimensions() << "\nB: " << Bj.dimensions() << std::endl;
// renormalize to Bi
e::Tensor<T, 1> SiInv = 1. / psi.S(i);
e::Tensor<T, 2> SiDiv = diagonal(SiInv);
e::Tensor<T, 3> Gi = SiDiv.contract(Ai, e::array<iP, 1>{iP{1, 0}}); // vL [vL], [vL] i vC
// printTensor(SiDiv, "SiDiv");
// printTensor(Gi, "Gi");
// e::Tensor<T, 0> SS = Sj.contract(Sj.conjugate(), e::array<iP, 1>{iP{0,0}});
// std::println("Bond {:03}, Sj contracted with its conjugate = {}", i, SS(0));
// psi.B(i) = Gi.contract(diagonal(Sj), e::array<iP, 1>{iP{2, 0}}); // vL i [vC], [vC] vC
// psi.B(i+1) = std::move(Bj);
// psi.S(i+1) = std::move(Sj);
typename MPS<T>::BTensor_t Bi = Gi.contract(diagonal(Sj), e::array<iP, 1>{iP{2, 0}}); // vL i [vC], [vC] vC
// e::Tensor<bool, 0> equal = (psi.B(i) == Bi).all();
// printTensor(psi.B(i), "old Bi");
// printTensor(Bi, "new Bi");
psi.B(i) = std::move(Bi);
psi.B(j) = std::move(Bj);
psi.S(j) = std::move(Sj);
// 3) Update
update_LP(i, psi);
update_RP(j, psi);
}
template<typename T>
void DMRGEngine<T>::update_RP(int i, MPS<T>& psi) {
// std::println("update_RP({})", i);
int j = i - 1;
const e::Tensor<T, 3>& RP = RPs[i]; // vR* wR* vR
const e::Tensor<T, 3>& B = psi.B(i); // vL i vR
e::Tensor<T, 3> Bc = B.conjugate(); // vL* i* vR*
const e::Tensor<T, 4>& W = *H_mpo[i]; // wL wR i i*
#ifdef DMRGDEBUG
printTensorDims(RP, "RP");
printTensorDims(B, "B");
printTensorDims(Bc, "Bc");
printTensorDims(W, "W");
auto RP2 = B.contract(RP, e::array<iP, 1>{iP{2, 0}}); // vL i [vR], [vR*] wR* vR
e::Tensor<T, 4> RP2T = RP2;
printTensorDims(RP2T, "RP2T");
auto RP3 = RP2T.contract(W, e::array<iP, 2>{iP{1, 3}, iP{2, 1}}); // vL [i] [wR*] vR, wL [wR] i [i*]
e::Tensor<T, 4> RP3T = RP3;
printTensorDims(RP3T, "RP3T");
auto RP4 = RP3.contract(Bc, e::array<iP, 2>{iP{1, 2}, iP{3, 1}}); // vL [vR] wL [i], vL* [i*] [vR*]
e::Tensor<T, 3> RP4T = RP4;
printTensor(RP4T, "RP4T");
#else
auto RP2 = B.contract(RP, e::array<iP, 1>{iP{2, 0}}); // vL i [vR], [vR*] wR* vR
auto RP3 = RP2.contract(W, e::array<iP, 2>{iP{1, 3}, iP{2, 1}}); // vL [i] [wR*] vR, wL [wR] i [i*]
auto RP4 = RP3.contract(Bc, e::array<iP, 2>{iP{1, 2}, iP{3, 1}}); // vL [vR] wL [i], vL* [i*] [vR*]
#endif
RPs[j] = RP4;
}
template<typename T>
void DMRGEngine<T>::update_LP(int i, MPS<T>& psi) {
// std::println("update_LP({})", i);
int j = i + 1;
const e::Tensor<T, 3>& LP = LPs[i]; // vL wL vL*
const e::Tensor<T, 3>& B = psi.B(i); // vL i vR
const e::Tensor<T, 4>& W = *H_mpo[i]; // wL wR i i*
e::Tensor<T, 1> SjInvV = 1. / psi.S(j);
e::Tensor<T, 2> SjInv = diagonal(SjInvV);
auto G = B.contract(SjInv, e::array<iP, 1>{iP{2, 0}}); // vL i [vR], [vR*] vR
e::Tensor<T, 2> Si = diagonal(psi.S(i));
auto A = Si.contract(G, e::array<iP, 1>{iP{1, 0}}); // vL [vL*], [vL] i vR
auto Ac = A.conjugate(); // vL* i* vR*
#ifdef DMRGDEBUG
auto LP2 = LP.contract(A, e::array<iP, 1>{iP{2, 0}}); // vL wL* [vL*], [vL] i vR
e::Tensor<T, 4> LP2T = LP2;
printTensorDims(LP2T, "LP2T");
printTensorDims(W, "W");
auto LP3 = W.contract(LP2T, e::array<iP, 2>{iP{0, 1}, iP{3, 2}}); // [wL] wR i [i*], vL [wL*] [i] vR
e::Tensor<T, 4> LP3T = LP3;
printTensorDims(LP3T, "LP3T");
e::Tensor<T, 3> AcT = Ac;
printTensorDims(AcT, "AcT");
auto LP4 = AcT.contract(LP3, e::array<iP, 2>{iP{0, 2}, iP{1, 1}}); // [vL*] [i*] vR*, wR [i] [vL] vR
e::Tensor<T, 3> LP4T = LP4;
printTensor(LP4T, "LP4T");
LPs[j] = LP4T;
#else
auto LP2 = LP.contract(A, e::array<iP, 1>{iP{2, 0}}); // vL wL* [vL*], [vL] i vR
auto LP3 = W.contract(LP2, e::array<iP, 2>{iP{0, 1}, iP{3, 2}}); // [wL] wR i [i*], vL [wL*] [i] vR
auto LP4 = Ac.contract(LP3, e::array<iP, 2>{iP{0, 2}, iP{1, 1}}); // [vL*] [i*] vR*, wR [i] [vL] vR
LPs[j] = LP4;
#endif
}
template<typename T>
void run(MPS<T>& psi, const std::vector<std::shared_ptr<e::Tensor<T, 4>>>& H_mpos, unsigned chiMax, T eps, unsigned nSweeps, postUpdateFunction_t<T> postUpdateFunc) {
auto engine = DMRGEngine(psi, H_mpos, chiMax, eps);
for (unsigned i = 0; i < nSweeps; i++) {
engine.sweep(psi);
if (postUpdateFunc(psi, i)) break;
}
}
template class dmrg::DMRGEngine<dtype>;
template void run<dtype>(MPS<dtype>& psi, const std::vector<std::shared_ptr<e::Tensor<dtype, 4>>>& H_mpos, unsigned chiMax, dtype eps, unsigned nSweeps, postUpdateFunction_t<dtype> postUpdateFunc);
} // namespace dmrg

52
src/algorithms/dmrg.hpp Normal file
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@ -0,0 +1,52 @@
#pragma once
#include "algorithm.hpp"
#include "mps.hpp"
#include <eigen3/Eigen/Eigen>
/**
* @brief Returns a \f$L\times L \f$ identity matrix in tensor form, where \f$L = \text{min}(N, M)\f$
*/
template <typename T>
e::Tensor<T, 2> identityTensor(e::Index N, e::Index M) {
e::Tensor<dtype, 2> t(N, M);
t.setZero();
e::Index min = std::min(N, M);
for (e::Index i = 0; i < min; i++) {
t(i, i) = 1;
}
return t;
}
/**
* @brief Implementation of the Density Matrix Renormalization Group (DMRG) algorithm
*/
namespace dmrg {
/**
* @brief Helper class that keeps the left and right blocks of the MPS
* @note Always call with the same mps (psi) that it was initialized with!
* It would have been better if the engine would take ownership of the MPS during sweeps,
* but this would make calling an update function in between more difficult.
*/
template<typename T>
class DMRGEngine {
public:
std::vector<std::shared_ptr<e::Tensor<T, 4>>> H_mpo;
std::vector<e::Tensor<T, 3>> LPs, RPs;
int chiMax;
T eps;
DMRGEngine(MPS<T>& psi, const std::vector<std::shared_ptr<e::Tensor<T, 4>>>& H_mpo,
unsigned chiMax = 100, T eps = 1e-12);
void initialize(MPS<T>& psi);
void sweep(MPS<T>& psi);
void update_bond(int i, MPS<T>& psi);
void update_RP(int i, MPS<T>& psi);
void update_LP(int i, MPS<T>& psi);
};
template<typename T>
void run(MPS<T>& psi, const std::vector<std::shared_ptr<e::Tensor<T, 4>>>& H_mpos, unsigned chiMax, T eps, unsigned nSweeps, postUpdateFunction_t<T> postUpdateFunc);
}

59
src/algorithms/tebd.cpp
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@ -1,10 +1,11 @@
#include "tebd.hpp"
#include "type.hpp"
#include "util.hpp"
#include "model.hpp"
#include <cstdio>
#include <ostream>
#include <unordered_map>
#include <print>
#include <eigen3/unsupported/Eigen/MatrixFunctions>
template<typename InType, typename OutType>
std::vector<std::shared_ptr<OutType>> forEachUnique(std::function<OutType(const InType&)> f, const std::vector<std::shared_ptr<InType>>& inRange) {
@ -25,23 +26,24 @@ std::vector<std::shared_ptr<OutType>> forEachUnique(std::function<OutType(const
}
template<typename T>
e::Tensor<T, 4> getTimeEvolutionMatrix(const e::MatrixX<T>& bond, T dt, unsigned localDim) {
namespace tebd {
template<typename T>
e::Tensor<T, 4> getTimeEvolutionMatrix(const e::MatrixX<T>& bond, T dt, unsigned localDim) {
e::MatrixX<T> U = (-bond * dt).exp();
// std::cout << "U = \n" << U << "\n\n";
return bondMatrix2Tensor<T>(U, localDim);
}
}
template<typename T>
Bonds<T> getTimeEvolutionMatrices(const std::vector<std::shared_ptr<e::MatrixX<T>>>& bonds, T dt, unsigned int localDim) {
template<typename T>
Bonds<T> getTimeEvolutionMatrices(const std::vector<std::shared_ptr<e::MatrixX<T>>>& bonds, T dt, unsigned int localDim) {
std::function<e::Tensor<T, 4>(const e::MatrixX<T>&)> f = std::bind(getTimeEvolutionMatrix<T>, std::placeholders::_1, dt, localDim);
std::vector<std::shared_ptr<e::Tensor<T, 4>>> U_Bonds = forEachUnique(f, bonds);
return U_Bonds;
}
}
template<typename T>
void updateBond(MPS<T>& psi, size_t i, const e::Tensor<T, 4>& U, unsigned chiMax, T eps) {
template<typename T>
void updateBond(MPS<T>& psi, size_t i, const e::Tensor<T, 4>& U, unsigned chiMax, T eps) {
// std::println("BOND {}", i);
auto theta = psi.getTheta2(i); // vL i j vR
// apply U: i j i* j*
@ -77,31 +79,32 @@ void updateBond(MPS<T>& psi, size_t i, const e::Tensor<T, 4>& U, unsigned chiMax
psi.B(i) = Bi;
psi.B(i+1) = Bj;
psi.S(i+1) = Sj;
}
}
template<typename T>
void runTEBD_brickwall(MPS<T>& psi, const Bonds<T>& bonds, unsigned chiMax, T eps, unsigned nSteps, postUpdateFunction_t<T> postUpdateFunc) {
template<typename T>
void runBrickwall(MPS<T>& psi, const Bonds<T>& bonds, unsigned chiMax, T eps, unsigned nSteps, postUpdateFunction_t<T> postUpdateFunc) {
for (unsigned n = 0; n < nSteps; n++) {
// std::print("i = {:03}\r", n);
// std::flush(std::cout);
for (unsigned row = 0; row < 2; row++) {
for (unsigned i = row; i < bonds.size(); i+=2) {
// std::cout << "i = " << i << std::endl;
// std::println("Updating bond {:02}", i);
updateBond(psi, i, *(bonds.at(i)), chiMax, eps);
}
}
postUpdateFunc(psi, n);
if (postUpdateFunc(psi, n)) break;
}
}
}
// TODO
/**
// TODO
/**
* @brief Run TEBD using a second-order decomposition
* @todo I think this is currently only correct for even system sizes => check decomposition
*/
template<typename T>
void runTEBD_secondOrder(MPS<T>& psi, const Bonds<T>& bonds, const Bonds<T>& bondsHalfDT, unsigned chiMax, T eps, unsigned nSteps, postUpdateFunction_t<T> postUpdateFunc) {
template<typename T>
void runSecondOrder(MPS<T>& psi, const Bonds<T>& bonds, const Bonds<T>& bondsHalfDT, unsigned chiMax, T eps, unsigned nSteps, postUpdateFunction_t<T> postUpdateFunc) {
for (unsigned n = 0; n < nSteps; n++) {
// std::print("i = {:03}\r", n);
// std::flush(std::cout);
@ -115,17 +118,17 @@ void runTEBD_secondOrder(MPS<T>& psi, const Bonds<T>& bonds, const Bonds<T>& bon
updateBond(psi, i, *(useBonds->at(i)), chiMax, eps);
}
}
postUpdateFunc(psi, n);
if (postUpdateFunc(psi, n)) break;
}
}
}
// Instantiations
// Instantiations
template e::Tensor<dtype, 4> getTimeEvolutionMatrix<dtype>(const e::MatrixX<dtype>& bond, dtype dt, unsigned localDim);
template Bonds<dtype> getTimeEvolutionMatrices<dtype>(const std::vector<std::shared_ptr<e::MatrixX<dtype>>>& bonds, dtype dt, unsigned int localDim);
template void updateBond<dtype>(MPS<dtype>& psi, size_t i, const e::Tensor<dtype, 4>& U, unsigned chiMax, dtype eps);
template void runBrickwall<dtype>(MPS<dtype>& psi, const Bonds<dtype>& bonds, unsigned chiMax, dtype eps, unsigned nSteps, postUpdateFunction_t<dtype> postUpdateFunc);
template void runSecondOrder<dtype>(MPS<dtype>& psi, const Bonds<dtype>& bonds, const Bonds<dtype>&, unsigned chiMax, dtype eps, unsigned nSteps, postUpdateFunction_t<dtype> postUpdateFunc);
}; // namespace tebd
template std::vector<std::shared_ptr<e::Tensor<dtype, 4>>> forEachUnique(std::function<e::Tensor<dtype, 4> (const e::MatrixX<dtype> &)> f, const std::vector<std::shared_ptr<e::MatrixX<dtype>>>&);
template e::Tensor<dtype, 4> getTimeEvolutionMatrix<dtype>(const e::MatrixX<dtype>& bond, dtype dt, unsigned localDim);
template Bonds<dtype> getTimeEvolutionMatrices<dtype>(const std::vector<std::shared_ptr<e::MatrixX<dtype>>>& bonds, dtype dt, unsigned int localDim);
template void updateBond<dtype>(MPS<dtype>& psi, size_t i, const e::Tensor<dtype, 4>& U, unsigned chiMax, dtype eps);
template void postUpdateNoop<dtype>(const MPS<dtype>&, unsigned);
template void runTEBD_brickwall<dtype>(MPS<dtype>& psi, const Bonds<dtype>& bonds, unsigned chiMax, dtype eps, unsigned nSteps, postUpdateFunction_t<dtype> postUpdateFunc);
template void runTEBD_secondOrder<dtype>(MPS<dtype>& psi, const Bonds<dtype>& bonds, const Bonds<dtype>&, unsigned chiMax, dtype eps, unsigned nSteps, postUpdateFunction_t<dtype> postUpdateFunc);

39
src/algorithms/tebd.hpp
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@ -1,9 +1,8 @@
#pragma once
#include "model.hpp"
#include "algorithm.hpp"
#include "mps.hpp"
#include <eigen3/Eigen/Eigen>
#include <eigen3/unsupported/Eigen/CXX11/Tensor>
#include <eigen3/unsupported/Eigen/MatrixFunctions>
/**
* @brief Apply the function f on every element if inRange, but reuse a cached result when two pointers point to the same object
@ -15,29 +14,28 @@ template<typename T>
using Bonds = std::vector<std::shared_ptr<e::Tensor<T, 4>>>;
/**
* @brief Implementation of the Time Evolved block Decimation (TEBD) algorithm
*/
namespace tebd {
/**
* @brief Apply time evolution on a bond
* @details
* \f[U = \exp{ B \, \del t} \f]
* \f[U = \exp{ B \, \partial t} \f]
*/
template<typename T>
e::Tensor<T, 4> getTimeEvolutionMatrix(const e::MatrixX<T>& bond, T dt, unsigned localDim);
template<typename T>
e::Tensor<T, 4> getTimeEvolutionMatrix(const e::MatrixX<T>& bond, T dt, unsigned localDim);
template<typename T>
Bonds<T> getTimeEvolutionMatrices(const std::vector<std::shared_ptr<e::MatrixX<T>>>& bonds, T dt, unsigned int localDim);
template<typename T>
Bonds<T> getTimeEvolutionMatrices(const std::vector<std::shared_ptr<e::MatrixX<T>>>& bonds, T dt, unsigned int localDim);
/**
/**
* @brief Apply U on bond i, perform SVD and truncate, update MPS
*/
template<typename T>
void updateBond(MPS<T>& psi, size_t i, const e::Tensor<T, 4>& U, unsigned chiMax, T eps);
template<typename T>
void updateBond(MPS<T>& psi, size_t i, const e::Tensor<T, 4>& U, unsigned chiMax, T eps);
template<typename T>
using postUpdateFunction_t = std::function<void (const MPS<T>&, unsigned)>;
template<typename T>
void postUpdateNoop(const MPS<T>&, unsigned) {};
/**
/**
* @brief Brickwall TEBS scheme
* @details
* Apply U on every second bond starting from the first,
@ -47,8 +45,9 @@ void postUpdateNoop(const MPS<T>&, unsigned) {};
*
* @param postUpdateFunc function that can be used to track expectation values after each update
*/
template<typename T>
void runTEBD_brickwall(MPS<T>& psi, const Bonds<T>& bonds, unsigned chiMax, T eps, unsigned nSteps, postUpdateFunction_t<T> postUpdateFunc);
template<typename T>
void runBrickwall(MPS<T>& psi, const Bonds<T>& bonds, unsigned chiMax, T eps, unsigned nSteps, postUpdateFunction_t<T> postUpdateFunc);
template<typename T>
void runTEBD_secondOrder(MPS<T>& psi, const Bonds<T>& bonds, const Bonds<T>& bondsHalfDT, unsigned chiMax, T eps, unsigned nSteps, postUpdateFunction_t<T> postUpdateFunc);
template<typename T>
void runSecondOrder(MPS<T>& psi, const Bonds<T>& bonds, const Bonds<T>& bondsHalfDT, unsigned chiMax, T eps, unsigned nSteps, postUpdateFunction_t<T> postUpdateFunc);
}; // namespace tebd

5
src/benchmark.cpp
View File

@ -41,12 +41,13 @@ Results _runTEBD(unsigned L, double J, double g, unsigned nSteps, dtype dt, dtyp
result.M.push_back(psi.getSiteExpectationValueSum(sigma_z).real());
result.E.push_back(model.energy(psi).real());
result.S.push_back(psi.getEntanglementEntropy(middleBond).real());
return false;
});
// initial values now
F(psi, 0);
const Bonds<dtype> bonds = getTimeEvolutionMatrices(model.getH_BondsMatrices(), dt, model.localDim);
runTEBD_brickwall(psi, bonds, chiMax, eps, nSteps, F);
const Bonds<dtype> bonds = tebd::getTimeEvolutionMatrices(model.getH_BondsMatrices(), dt, model.localDim);
tebd::runBrickwall(psi, bonds, chiMax, eps, nSteps, F);
return result;
};

122
src/main.cpp
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@ -7,11 +7,29 @@
#include "tebd.hpp"
#include "util.hpp"
#include "type.hpp"
#include "dmrg.hpp"
#include "wasm/run.hpp"
#include "benchmark.hpp"
using namespace std::complex_literals;
void testWasmCode() {
unsigned L = 6;
unsigned nMax = 3;
auto model = std::make_shared<BoseHubbardModel1D<dtype>>(L, dtype(1.), dtype(0.05), dtype(0.5), nMax);
auto psi = initMPS_nParticles<dtype>(L, nMax, 1);
double eps = 1e-10;
unsigned chiMax = 20;
double dtReal = 0.00;
double dtImag = 0.05;
unsigned nSteps = 300;
ems::val callback;
BoseHubbardResults result(callback, 0);
runTEBD(psi, model, nSteps, dtReal, dtImag, eps, chiMax, TEBD_TYPE::BRICKWALL, result);
}
void testSVD() {
e::Tensor<dtype, 4> t4(2, 3, 4, 5);
auto data = t4.data();
@ -30,19 +48,20 @@ void testSVD() {
void testBoseHubbardTEBD() {
unsigned L = 8;
unsigned nMax = 5;
auto model = BoseHubbardModel1D<dtype>(L, dtype(1.), dtype(2.50), dtype(0.5), nMax);
unsigned L = 6;
unsigned nMax = 3;
auto model = BoseHubbardModel1D<dtype>(L, dtype(1.), dtype(0.05), dtype(0.5), nMax);
dtype eps = 1e-10;
unsigned chiMax = 20;
dtype dt = 0.05;
dtype dt = 0.05i;
unsigned nSteps = 300;
std::println("dt={}", dt);
// std::cout << "leftT:\n" << *(model.getH_Bonds().front()) << std::endl;
// std::cout << "leftT2:\n" << bondMatrix2Tensor(*(model.getH_BondsMatrices().front()), model.localDim) << std::endl;
std::cout << "middleT:\n" << *(model.getH_Bonds().at(1)) << std::endl;
//
auto bonds = getTimeEvolutionMatrices(model.getH_BondsMatrices(), dt, model.localDim);
auto bonds = tebd::getTimeEvolutionMatrices(model.getH_BondsMatrices(), dt, model.localDim);
std::cout << "N:\n" << model.getLadderOperators().getN() << std::endl;
std::cout << "a:\n" << model.getLadderOperators().getA() << std::endl;
std::cout << "aDagger:\n" << model.getLadderOperators().getADagger() << std::endl;
@ -50,36 +69,36 @@ void testBoseHubbardTEBD() {
// std::cout << "H_Bond:\n" << *(bonds.front()) << std::endl;
// MPS<dtype> psi = initMPS_spinUp<dtype>(L);
MPS<dtype> psi = initMPS_nParticles<dtype>(L, nMax, 2);
MPS<dtype> psi = initMPS_nParticles<dtype>(L, nMax, 1);
unsigned nSteps = 300;
// postUpdateFunction_t<dtype> fUpdate = postUpdateNoop<dtype>;
e::TensorMap<const e::Tensor<dtype, 2>> particleNumberOperator(model.getLadderOperators().getN().data(), model.localDim, model.localDim);
postUpdateFunction_t<dtype> fUpdate = [&model, &particleNumberOperator](const MPS<dtype>& psi, unsigned i) {
std::println("{:03}: N={:.2f} {}", i, psi.getSiteExpectationValueSum(particleNumberOperator).real() / model.L, psi.getChi());
return false;
};
// auto fUpdate = postUpdateFunction_t<dtype>([](const MPS<dtype>& psi, unsigned i){
// std::println("i={:03}: <psi|psi>={}", i, psi.collapse(0));
// });
std::println("E = {}", model.energy(psi).real());
// std::println("E = {}", model.energy(psi).real());
// std::println("m = {}", psi.getSiteExpectationValues(sigma_z));
std::println("chiS: {:b}", psi.getChi());
psi.print();
std::println("<psi|psi>={}", psi.collapse(0));
runTEBD_brickwall(psi, bonds, chiMax, eps, nSteps, fUpdate);
std::println("E = {}", model.energy(psi).real());
std::println("<N> = {}", psi.getSiteExpectationValueSum(particleNumberOperator).real() / model.L);
// std::println("m = {}", psi.getSiteExpectationValues(sigma_z));
std::println("chiS: {:b}", psi.getChi());
// std::println("chiS: {:b}", psi.getChi());
// psi.print();
std::println("<psi|psi>={}", psi.collapse(0));
// std::println("<psi|psi>={}", psi.collapse(0));
tebd::runBrickwall(psi, bonds, chiMax, eps, nSteps, fUpdate);
// std::println("E = {}", model.energy(psi).real());
// std::println("<N> = {}", psi.getSiteExpectationValueSum(particleNumberOperator).real() / model.L);
// std::println("m = {}", psi.getSiteExpectationValues(sigma_z));
// std::println("chiS: {:b}", psi.getChi());
// psi.print();
// std::println("<psi|psi>={}", psi.collapse(0));
}
void testTFI_TEBD() {
unsigned L = 8;
unsigned L = 40;
std::println("Make model");
auto model = TransverseFieldIsingModel1D<dtype>(L, dtype(1.), dtype(1.5));
// auto& mpo = *(model.getH_MPO().front());
@ -109,21 +128,21 @@ void testTFI_TEBD() {
e::Tensor<dtype, 2> sigma_z(2, 2);
sigma_z.setValues({{1, 0}, {0, -1}});
dtype eps = 1e-10;
unsigned chiMax = 20;
dtype dt = 0.05i;
dtype eps = 1e-20;
unsigned chiMax = 30;
dtype dt = 0.05;
std::println("dt={}", dt);
std::cout << "leftT:\n" << *(model.getH_Bonds().front()) << std::endl;
std::cout << "leftT2:\n" << bondMatrix2Tensor(*(model.getH_BondsMatrices().front()), model.localDim) << std::endl;
std::cout << "middleT:\n" << *(model.getH_Bonds().at(1)) << std::endl;
auto bonds = getTimeEvolutionMatrices(model.getH_BondsMatrices(), dt, model.localDim);
auto bonds = tebd::getTimeEvolutionMatrices(model.getH_BondsMatrices(), dt, model.localDim);
std::cout << "U_Bond:\n" << *(bonds.front()) << std::endl;
// std::cout << "H_Bond:\n" << *(bonds.front()) << std::endl;
// MPS<dtype> psi = initMPS_spinUp<dtype>(L);
MPS<dtype> psi = initMPS_spinRight<dtype>(L);
unsigned nSteps = 100;
unsigned nSteps = 200;
postUpdateFunction_t<dtype> fUpdate = postUpdateNoop<dtype>;
// auto fUpdate = postUpdateFunction_t<dtype>([](const MPS<dtype>& psi, unsigned i){
// std::println("i={:03}: <psi|psi>={}", i, psi.collapse(0));
@ -134,7 +153,7 @@ void testTFI_TEBD() {
psi.print();
std::println("<psi|psi>={}", psi.collapse(0));
runTEBD_brickwall(psi, bonds, chiMax, eps, nSteps, fUpdate);
tebd::runBrickwall(psi, bonds, chiMax, eps, nSteps, fUpdate);
// updateBond(psi, 0, *(bonds.at(0)), chiMax, eps);
// updateBond(psi, 2, *(bonds.at(2)), chiMax, eps);
// updateBond(psi, 4, *(bonds.at(4)), chiMax, eps);
@ -148,7 +167,7 @@ void testTFI_TEBD() {
std::println("E = {}", model.energy(psi).real());
std::println("m = {}", psi.getSiteExpectationValues(sigma_z));
std::println("chiS: {:b}", psi.getChi());
psi.print();
// psi.print();
std::println("<psi|psi>={}", psi.collapse(0));
// for (unsigned i = 0; i < L; i++) {
@ -157,10 +176,59 @@ void testTFI_TEBD() {
}
void testTFI_DMRG() {
unsigned L = 8;
std::println("Make model");
auto model = TransverseFieldIsingModel1D<dtype>(L, dtype(1.), dtype(1));
e::Tensor<dtype, 2> sigma_z(2, 2);
sigma_z.setValues({{1, 0}, {0, -1}});
std::cout << *(model.getH_BondsMatrices().at(0)) << std::endl;
printTensor(*model.getH_Bonds().at(0), "H0");
std::cout << *(model.getH_BondsMatrices().at(1)) << std::endl;
printTensor(*model.getH_Bonds().at(1), "H1");
std::cout << *(model.getH_BondsMatrices().at(6)) << std::endl;
printTensor(*model.getH_Bonds().at(6), "H6");
dtype eps = 1e-20;
unsigned chiMax = 10;
MPS<dtype> psi = initMPS_spinUp<dtype>(L);
for (unsigned i = 0; i < 7; i++) {
std::println("{}", psi.getBondExpectationValue(*(model.getH_Bonds()[i]), i));
}
// MPS<dtype> psi = initMPS_spinRight<dtype>(L);
// MPS<dtype> psi = initMPS_spinDown<dtype>(L);
dtype E = model.energy(psi);
std::println("E{} = {}", -1, E.real());
std::println("M{} = {}", -1, psi.getSiteExpectationValueSum(sigma_z));
printTensor(*(model.getH_MPO().at(0)), "H_mpo[0]");
printTensor(*(model.getH_MPO().at(1)), "H_mpo[1]");
auto engine = dmrg::DMRGEngine(psi, model.getH_MPO(), chiMax, eps);
std::println("Initialized");
E = model.energy(psi);
std::println("E{} = {}", 0, E);
// engine.update_bond(0);
for (unsigned i = 0; i < 4; i++) {
engine.sweep(psi);
std::println("\nAfter sweep #{}", i+1);
E = model.energy(psi);
std::println("E = {:.2f}", E);
std::println("M = {:.2f}", psi.getSiteExpectationValueSum(sigma_z));
}
// engine.psi.print();
}
int main() {
testTFI_DMRG();
// testSVD(); return 0;
testBoseHubbardTEBD();
// testBoseHubbardTEBD();
// testTFI_TEBD();
// testWasmCode();
// return runBenchmark_oneAtATime();
// return runBenchmark_all();

2
src/model.cpp
View File

@ -12,6 +12,7 @@ T Model1D<T>::energy(const MPS<T>& psi) const {
return E;
}
template<typename T>
e::Tensor<T, 4> constructMPO(const std::initializer_list<std::initializer_list<e::MatrixX<T>>>& matrices) {
size_t rows = matrices.size();
@ -42,7 +43,6 @@ e::Tensor<T, 4> constructMPO(const std::initializer_list<std::initializer_list<e
}
template<typename T>
e::MatrixX<T> MPO_Tensor2Matrix(const e::Tensor<T, 4>& mpo) {
size_t dim = mpo.dimension(0);

5
src/model.hpp
View File

@ -17,12 +17,13 @@ using namespace std::complex_literals;
template<typename T>
e::Tensor<T, 4> constructMPO(const std::initializer_list<std::initializer_list<e::MatrixX<T>>>& matrices);
template<typename T>
e::MatrixX<T> MPO_Tensor2Matrix(const e::Tensor<T, 4>& mpo);
/**
* @brief Reshape a N*localDim x N*localDim matrix into a N x localDim x N x localDim tensor
* @brief Reshape a \f$N \, d \times N \, d\f$ matrix into a \f$N \times d \times N \times d\f] tensor
*/
template<typename T>
e::Tensor<T, 4> bondMatrix2Tensor(const e::MatrixX<T>& bondMatrix, unsigned localDim);
@ -39,7 +40,7 @@ class Model1D {
virtual ~Model1D() {};
inline const std::vector<std::shared_ptr<e::MatrixX<T>>>& getH_BondsMatrices() const { return H_BondsMatrices; }
inline const std::vector<std::shared_ptr<e::Tensor<T, 4>>>& getH_Bonds() const { return H_Bonds; }
inline const std::vector<std::shared_ptr<e::Tensor<T, 4>>>& getH_MPO() const { return H_MPO; }
inline std::vector<std::shared_ptr<e::Tensor<T, 4>>>& getH_MPO() { return H_MPO; }
const size_t L;
const unsigned localDim;
T energy(const MPS<T>& psi) const;

44
src/models/bose_hubbard.cpp
View File

@ -1,6 +1,7 @@
#include "bose_hubbard.hpp"
#include <eigen3/unsupported/Eigen/KroneckerProduct>
template<typename T>
LadderOperators<T>::LadderOperators(unsigned dim) : identity(dim, dim), aDagger(dim, dim), a(dim, dim), n(dim, dim) {
identity.setZero();
@ -22,34 +23,37 @@ LadderOperators<T>::LadderOperators(unsigned dim) : identity(dim, dim), aDagger(
template<typename T>
void BoseHubbardModel1D<T>::initH_Bonds() {
T tHalf = this->t * static_cast<T>(0.5);
T tFull = this->t;
T UHalf = this->U * static_cast<T>(0.5);
T UQuarter = this->U * static_cast<T>(0.25);
T muHalf = this->mu * static_cast<T>(0.5);
/// @todo TODO figure out which is right. Doesnt t need to be halfed at the edges and not the middle?
e::MatrixX<T> N_NminusI = this->lo.getN() * (this->lo.getN() - this->lo.getIdentity());
e::MatrixX<T> singleParticlePart(
(
e::kroneckerProduct(this->lo.getIdentity(), N_NminusI)
- e::kroneckerProduct(N_NminusI, this->lo.getIdentity())
) * (this->U/static_cast<T>(2))
- e::kroneckerProduct(this->lo.getN(), this->lo.getIdentity()) * (this->mu/static_cast<T>(2))
- e::kroneckerProduct(this->lo.getIdentity(), this->lo.getN()) * (this->mu/static_cast<T>(2))
e::MatrixX<T> twoParticlePart =
- this->t * e::kroneckerProduct(this->lo.getADagger(), this->lo.getA())
- this->t * e::kroneckerProduct(this->lo.getA(), this->lo.getADagger()
);
// TODO this is wrong, needs A and Adagger; check which t or t/half or identities are required
auto left = std::make_shared<e::MatrixX<T>>(
singleParticlePart
- tFull * e::kroneckerProduct(this->lo.getADagger(), this->lo.getA())
- tFull * e::kroneckerProduct(this->lo.getA(), this->lo.getADagger())
twoParticlePart
+ e::kroneckerProduct(N_NminusI, this->lo.getIdentity()) * UHalf
+ e::kroneckerProduct(this->lo.getIdentity(), N_NminusI) * UQuarter
- e::kroneckerProduct(this->lo.getN(), this->lo.getIdentity()) * (this->mu)
- e::kroneckerProduct(this->lo.getIdentity(), this->lo.getN()) * (muHalf)
);
auto right = std::make_shared<e::MatrixX<T>>(
singleParticlePart
- tFull * e::kroneckerProduct(this->lo.getADagger(), this->lo.getA())
- tFull * e::kroneckerProduct(this->lo.getA(), this->lo.getADagger())
twoParticlePart
+ e::kroneckerProduct(N_NminusI, this->lo.getIdentity()) * UQuarter
+ e::kroneckerProduct(this->lo.getIdentity(), N_NminusI) * UHalf
- e::kroneckerProduct(this->lo.getN(), this->lo.getIdentity()) * (muHalf)
- e::kroneckerProduct(this->lo.getIdentity(), this->lo.getN()) * (this->mu)
);
auto middle = std::make_shared<e::MatrixX<T>>(
singleParticlePart
- tFull * e::kroneckerProduct(this->lo.getADagger(), this->lo.getA())
- tFull * e::kroneckerProduct(this->lo.getA(), this->lo.getADagger())
twoParticlePart
+ e::kroneckerProduct(N_NminusI, this->lo.getIdentity()) * UQuarter
+ e::kroneckerProduct(this->lo.getIdentity(), N_NminusI) * UQuarter
- e::kroneckerProduct(this->lo.getN(), this->lo.getIdentity()) * (muHalf)
- e::kroneckerProduct(this->lo.getIdentity(), this->lo.getN()) * (muHalf)
);
// The matrices are N*N x N*N -> reshape to N x N x N x N tensors
unsigned N = this->localDim;
@ -90,7 +94,7 @@ void BoseHubbardModel1D<T>::initH_MPO() {
zero.setZero();
auto W = std::make_shared<e::Tensor<T, 4>>(std::move(constructMPO<T>({
{this->lo.getIdentity(), this->lo.getADagger(), this->lo.getA(), (this->U / 2. * (this->lo.getN() * this->lo.getN() - this->lo.getN()) - this->mu * this->lo.getN())},
{this->lo.getIdentity(), this->lo.getADagger(), this->lo.getA(), this->U / 2. * (this->lo.getN() * this->lo.getN() - this->lo.getN()) - this->mu * this->lo.getN()},
{zero, zero, zero, (-this->t * this->lo.getA())},
{zero, zero, zero, (-this->t * this->lo.getADagger())},
{zero, zero, zero, this->lo.getIdentity()}

38
src/models/bose_hubbard.hpp
View File

@ -1,6 +1,7 @@
#pragma once
#include "model.hpp"
/**
* @brief Helper class constructing identity, particle number and both ladder operators in one loop.
*/
@ -19,14 +20,44 @@ class LadderOperators {
e::MatrixX<T> n;
};
/**
* @brief Bose-Hubbard Model in 1 dimension
* Latex test \f$ 1 +2 \otimes 3\f$
* @details
* The Hamiltonian:
* \f[
* H =
* -t \sum_{i}\left(
* \hat{a}^\dagger_i \hat{a}_{i+1}
* + \hat{a}_i \hat{a}^\dagger_{i+1}
* \right)
* + \frac{U}{2} \sum_i \hat{n}_i \left(\hat{n}_i-\mathbbm{1}\right)
* - \mu \sum_i \hat{n}_i
* \f]
*
* The middle bonds are:
* TODO \f[ B_i = J \, \sigma^x_i \otimes \sigma^x_{i+1} + \frac{g}{2} \,\sigma^z_i \otimes I + \frac{g}{2} \, I \otimes \sigma^z_{i+1} \f]
* \f[
* -t \left(
* \hat{a}^\dagger_i \otimes \hat{a}_{i+1}
* + \hat{a}_i \otimes \hat{a}^\dagger_{i+1}
* \right)
* + \frac{U}{4} \Big(
* \hat{n}_{i} \left(\hat{n}_{i}-1_{i}\right) \otimes \mathbbm{1}_{i+1}
* + \mathbbm{1}_{i} \otimes \hat{n}_{i+1} \left(\hat{n}_{i+1}-1_{i+1} \right)
* \Big)
* - \frac{\mu}{2} \left(
* \hat{n}_i \otimes \mathbbm{1}_{i+1}
* \mathbbm{1}_{i} \otimes \hat{n}_{i+1}
* \right)
* \f]
*
* The MPO is:
* \f[ W = \begin{pmatrix} I & \hat{a}^\dagger & \hat{a} & \frac{U}{2}\hat{n}(\hat{n} - I) - \mu\hat{n} \\ 0 & 0 & 0 & -t \hat{a} \\ 0 & 0 & 0 & -t \hat{a}^\dagger\\ 0 & 0 & 0 & I \end{pmatrix} \f]
* \f[ W = \begin{pmatrix}
* \mathbbm{1} & \hat{a}^\dagger & \hat{a} & \frac{U}{2}\hat{n}(\hat{n} - \mathbbm{1}) - \mu\hat{n} \\
* 0 & 0 & 0 & -t \hat{a} \\ 0 & 0 & 0 & -t \hat{a}^\dagger\\
* 0 & 0 & 0 & \mathbbm{1} \end{pmatrix}
* \f]
*/
template<typename T>
class BoseHubbardModel1D : public Model1D<T> {
@ -43,7 +74,6 @@ class BoseHubbardModel1D : public Model1D<T> {
virtual std::string format() const override {
return std::format("BoseHubbardModel1D(L={},U={},t={},mu={})", this->L, this->U, this->t, this->mu);
}
protected:
void initH_Bonds() override;
void initH_MPO() override;
@ -53,5 +83,3 @@ class BoseHubbardModel1D : public Model1D<T> {
T mu;
LadderOperators<T> lo;
};

22
src/models/transverse_field_ising.cpp
View File

@ -8,22 +8,22 @@ PauliMatrices<T> TransverseFieldIsingModel1D<T>::pm;
template<typename T>
void TransverseFieldIsingModel1D<T>::initH_Bonds() {
T gHalf = this->g * static_cast<T>(0.5);
T BHalf = this->B * static_cast<T>(0.5);
// TODO: improve code or directly initialize the tensors
auto left = std::make_shared<e::MatrixX<T>>(
e::kroneckerProduct(pm.getSigmaX(), pm.getSigmaX()) * (-J) -
this->g * e::kroneckerProduct(pm.getSigmaZ(), pm.getIdentity()) -
gHalf * e::kroneckerProduct(pm.getIdentity(), pm.getSigmaZ())
e::kroneckerProduct(pm.getSigmaZ(), pm.getSigmaZ()) * (-J)
- this->B * e::kroneckerProduct(pm.getSigmaX(), pm.getIdentity())
- BHalf * e::kroneckerProduct(pm.getIdentity(), pm.getSigmaX())
);
auto right = std::make_shared<e::MatrixX<T>>(
e::kroneckerProduct(pm.getSigmaX(), pm.getSigmaX()) * (-J) -
gHalf * e::kroneckerProduct(pm.getSigmaZ(), pm.getIdentity()) -
this->g * e::kroneckerProduct(pm.getIdentity(), pm.getSigmaZ())
e::kroneckerProduct(pm.getSigmaZ(), pm.getSigmaZ()) * (-J)
- BHalf * e::kroneckerProduct(pm.getSigmaX(), pm.getIdentity())
- this->B * e::kroneckerProduct(pm.getIdentity(), pm.getSigmaX())
);
auto middle = std::make_shared<e::MatrixX<T>>(
e::kroneckerProduct(pm.getSigmaX(), pm.getSigmaX()) * (-J) -
gHalf * e::kroneckerProduct(pm.getSigmaZ(), pm.getIdentity()) -
gHalf * e::kroneckerProduct(pm.getIdentity(), pm.getSigmaZ())
e::kroneckerProduct(pm.getSigmaZ(), pm.getSigmaZ()) * (-J)
- BHalf * e::kroneckerProduct(pm.getSigmaX(), pm.getIdentity())
- BHalf * e::kroneckerProduct(pm.getIdentity(), pm.getSigmaX())
);
auto leftT = std::make_shared<e::Tensor<T, 4>>(2, 2, 2, 2);
auto middleT = std::make_shared<e::Tensor<T, 4>>(2, 2, 2, 2);
@ -63,7 +63,7 @@ void TransverseFieldIsingModel1D<T>::initH_MPO() {
e::Matrix2<T> zero(2, 2);
zero.setZero();
auto W = std::make_shared<e::Tensor<T, 4>>(std::move(constructMPO<T>({
{this->pm.getIdentity(), this->pm.getSigmaZ(), (this->g * this->pm.getSigmaX())},
{this->pm.getIdentity(), this->pm.getSigmaZ(), (-this->B) * this->pm.getSigmaX()},
{zero, zero, (-this->J * this->pm.getSigmaZ())},
{zero, zero, this->pm.getIdentity()}
})));

22
src/models/transverse_field_ising.hpp
View File

@ -4,25 +4,33 @@
/**
* @brief Transverse Field Ising Model in 1 dimension
* @details
* The nearest neighbor interaction is in z direction, the magnetic field in x direction.
* The Hamiltonian is:
* \f[ H = -J \sum_{\langle i,j\rangle} \sigma_{z,i} \sigma_{z,j} - B \sum_i \sigma_{x,j} \f]
*
* The middle bonds are:
* \f[ B_i = J \, \sigma^x_i \otimes \sigma^x_{i+1} + \frac{g}{2} \,\sigma^z_i \otimes I + \frac{g}{2} \, I \otimes \sigma^z_{i+1} \f]
* \f[ B_i = J \, \sigma^z_i \otimes \sigma^z_{i+1} + \frac{B}{2} \,\sigma^x_i \otimes I + \frac{B}{2} \, I \otimes \sigma^x_{i+1} \f]
*
* The MPO is:
* \f[ W = \begin{pmatrix} I & \sigma_z & g \, \sigma_x \\ 0 & 0 & J\,\sigma_z \\ 0 & 0 & I \end{pmatrix} \f]
* \f[ W = \begin{pmatrix}
* \mathbbm{1} & \sigma_z & -B \, \sigma_x \\
* 0 & 0 & -J\,\sigma_z \\
* 0 & 0 & \mathbbm{1}
* \end{pmatrix}
* \f]
*/
template<typename T>
class TransverseFieldIsingModel1D : public Model1D<T> {
public:
TransverseFieldIsingModel1D(size_t L, T J, T g) : Model1D<T>(L, 2), J(J), g(g) {
// std::println("TFIModel: L={}, J={}, g={}", L, J, g);
TransverseFieldIsingModel1D(size_t L, T J, T B) : Model1D<T>(L, 2), J(J), B(B) {
this->initH_Bonds();
this->initH_MPO();
}
inline const T& getJ() const { return J; }
inline const T& getg() const { return g; }
inline const T& getB() const { return B; }
virtual std::string format() const override {
return std::format("TransverseFieldIsingModel1D(L={},J={},g={})", this->L, this->J, this->g);
return std::format("TransverseFieldIsingModel1D(L={},J={},B={})", this->L, this->J, this->B);
}
protected:
void initH_Bonds() override;
@ -30,7 +38,7 @@ class TransverseFieldIsingModel1D : public Model1D<T> {
void initH_MPO() override;
private:
T J;
T g;
T B;
static PauliMatrices<T> pm;
};

154
src/mpl_colors.py
View File

@ -1,154 +0,0 @@
import matplotlib as mpl
import matplotlib.pyplot as plt
from cycler import cycler
# Palette
P = {
"bg0": "#282828",
"bg0-hard": "#1d2021",
"bg0-soft": "#32302f",
"bg1": "#3c3836",
"bg2": "#504945",
"bg3": "#665c54",
"bg4": "#7c6f64",
"fg0": "#fbf1c7",
"fg0-hard": "#f9f5d7",
"fg0-soft": "#f2e5bc",
"fg1": "#ebdbb2",
"fg2": "#d5c4a1",
"fg3": "#bdae93",
"fg4": "#a89984",
"dark-red": "#cc241d",
"dark-green": "#98971a",
"dark-yellow": "#d79921",
"dark-blue": "#458588",
"dark-purple": "#b16286",
"dark-aqua": "#689d6a",
"dark-orange": "#d65d0e",
"dark-gray": "#928374",
"light-red": "#fb4934",
"light-green": "#b8bb26",
"light-yellow": "#fabd2f",
"light-blue": "#83a598",
"light-purple": "#d3869b",
"light-aqua": "#8ec07c",
"light-orange": "#f38019",
"light-gray": "#a89984",
"alt-red": "#9d0006",
"alt-green": "#79740e",
"alt-yellow": "#b57614",
"alt-blue": "#076678",
"alt-purple": "#8f3f71",
"alt-aqua": "#427b58",
"alt-orange": "#af3a03",
"alt-gray": "#7c6f64",
}
COLORS_LIGHT = [
P["light-blue"],
P["light-orange"],
P["light-green"],
P["light-red"],
P["light-purple"],
P["light-yellow"],
P["light-aqua"],
P["light-gray"]]
COLORS_DARK = [
P["dark-blue"],
P["dark-orange"],
P["dark-green"],
P["dark-red"],
P["dark-purple"],
P["dark-yellow"],
P["dark-aqua"],
P["dark-gray"]]
COLORS_ALT = [
P["alt-blue"],
P["alt-orange"],
P["alt-green"],
P["alt-red"],
P["alt-purple"],
P["alt-yellow"],
P["alt-aqua"],
P["alt-gray"]]
COLORS = COLORS_LIGHT
def set_colorscheme(variant="dark"):
global COLORS
if variant == "dark":
FIG_BG_COLOR = P["bg0"]
PLT_FG_COLOR = P["fg0"]
PLT_BG_COLOR = P["bg0"]
PLT_GRID_COLOR = P["bg2"]
LEGEND_FG_COLOR = PLT_FG_COLOR
LEGEND_BG_COLOR = P["bg1"]
LEGEND_BORDER_COLOR = P["bg2"]
COLORS = COLORS_LIGHT
else:
FIG_BG_COLOR = P["fg0"]
PLT_FG_COLOR = P["bg0"]
PLT_BG_COLOR = P["fg0"]
PLT_GRID_COLOR = P["fg2"]
LEGEND_FG_COLOR = PLT_FG_COLOR
LEGEND_BG_COLOR = P["fg1"]
LEGEND_BORDER_COLOR = P["fg2"]
COLORS = COLORS_DARK
if variant == "alt":
COLORS = COLORS_ALT
color_rcParams = {
'axes.edgecolor': PLT_FG_COLOR,
'axes.facecolor': PLT_BG_COLOR,
'axes.labelcolor': PLT_FG_COLOR,
'axes.titlecolor': 'auto',
# 'axes.prop_cycle': cycler('color', ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf']),
'axes.prop_cycle': cycler('color', COLORS),
# 'axes3d.xaxis.panecolor': (0.95, 0.95, 0.95, 0.5),
# 'axes3d.yaxis.panecolor': (0.9, 0.9, 0.9, 0.5),
# 'axes3d.zaxis.panecolor': (0.925, 0.925, 0.925, 0.5),
# 'boxplot.boxprops.color': 'black',
# 'boxplot.capprops.color': 'black',
# 'boxplot.flierprops.color': 'black',
# 'boxplot.flierprops.markeredgecolor': 'black',
# 'boxplot.flierprops.markeredgewidth': 1.0,
# 'boxplot.flierprops.markerfacecolor': 'none',
# 'boxplot.meanprops.color': 'C2',
# 'boxplot.meanprops.markeredgecolor': 'C2',
# 'boxplot.meanprops.markerfacecolor': 'C2',
# 'boxplot.meanprops.markersize': 6.0,
# 'boxplot.medianprops.color': 'C1',
# 'boxplot.whiskerprops.color': 'black',
'figure.edgecolor': PLT_BG_COLOR,
'figure.facecolor': PLT_BG_COLOR,
# 'figure.figsize': [6.4, 4.8],
# 'figure.frameon': True,
# 'figure.labelsize': 'large',
'grid.color': PLT_GRID_COLOR,
# 'hatch.color': 'black',
'legend.edgecolor': LEGEND_BORDER_COLOR,
'legend.facecolor': LEGEND_BG_COLOR,
'xtick.color': PLT_FG_COLOR,
'ytick.color': PLT_FG_COLOR,
'xtick.labelcolor': PLT_FG_COLOR,
'ytick.labelcolor': PLT_FG_COLOR,
# 'lines.color': 'C0',
'text.color': PLT_FG_COLOR,
}
for k, v in color_rcParams.items():
plt.rcParams[k] = v
# override single char codes
mpl.colors.get_named_colors_mapping()["b"] = COLORS[0]
mpl.colors.get_named_colors_mapping()["o"] = COLORS[1]
mpl.colors.get_named_colors_mapping()["g"] = COLORS[2]
mpl.colors.get_named_colors_mapping()["r"] = COLORS[3]
mpl.colors.get_named_colors_mapping()["m"] = COLORS[4]
mpl.colors.get_named_colors_mapping()["y"] = COLORS[5]
mpl.colors.get_named_colors_mapping()["c"] = COLORS[6]
mpl.colors.get_named_colors_mapping()["k"] = P["fg0"]
mpl.colors.get_named_colors_mapping()["w"] = P["bg0"]

32
src/mps.cpp
View File

@ -36,6 +36,24 @@ std::vector<unsigned> MPS<T>::getChi() const {
}
return chis;
}
template<typename T>
unsigned MPS<T>::getChiMax() const {
unsigned chiMax = this->B(0).dimension(2);
for (size_t i = 1; i < (L - 1); i++) {
if (this->B(i).dimension(2) > chiMax) {
chiMax = this->B(i).dimension(2);
}
}
return chiMax;
}
template<typename T>
double MPS<T>::getChiAverage() const {
double chiAvg = 0;
for (size_t i = 0; i < (L - 1); i++) {
chiAvg += this->B(i).dimension(2);
}
return chiAvg / (L-1);
}
template<typename T>
T MPS<T>::getSiteExpectationValue(const e::Tensor<T, 2>& op, size_t siteIdx) const {
@ -98,6 +116,7 @@ T MPS<T>::collapse(size_t siteIndex) const {
e::Tensor<dtype, 2> thetaTheta = theta.contract(theta.conjugate(), e::array<iP, 2>{iP{0, 0}, iP{1, 1}});
for (size_t i = siteIndex+1; i < this->L; i++) {
// vL vR vL* vR*
// TODO optimize by not assigning to tensor
e::Tensor<dtype, 4> BB = this->B(i).contract(this->B(i).conjugate(), e::array<iP, 1>{iP{1, 1}});
e::Tensor<dtype, 2> thetaTheta2 = thetaTheta.contract(BB, e::array<iP, 2>{iP{0, 0}, iP{1, 2}});
std::swap(thetaTheta, thetaTheta2);
@ -139,15 +158,20 @@ split_truncate_theta(const e::Tensor<dtype, 4>& theta, size_t chiMax, dtype eps)
e::Index dL = theta.dimension(1);
e::Index dR = theta.dimension(2);
e::Index chivR = theta.dimension(3);
// Reshape theta to 2D matrix for the SVD
using MatX = e::Matrix<dtype, -1, -1>;
/// todo (DONE): Possible optimization: either use a Map and later adjust the matrix to tensor loops, or globally use RowMajor memory layout?
// The map approach produces the same Matrix is tensor2Matrix with Variant 2
MatX theta_mat = e::Map<const MatX>(theta.data(), chivL * dL, dR * chivR);
// MatX theta_mat = tensor2Matrix(theta);
return split_truncate_theta(theta_mat, chivL, dL, dR, chivR, chiMax, eps);
}
template<typename dtype>
std::tuple<e::Tensor<dtype, 3>, e::Tensor<dtype, 1>, e::Tensor<dtype, 3>>
split_truncate_theta(const e::MatrixX<dtype>& theta, e::Index chivL, e::Index dL, e::Index dR, e::Index chivR, size_t chiMax, dtype eps) {
using MatX = e::Matrix<dtype, -1, -1>;
// std::cout << "theta:\n" << theta << "theta_mat\n": << theta_mat << std::endl;
// std::cout << "theta_mat = " << std::endl;
@ -155,7 +179,7 @@ split_truncate_theta(const e::Tensor<dtype, 4>& theta, size_t chiMax, dtype eps)
// perform SVD: theta = U * diag(S) * V^T
constexpr int SVDOptions = e::ComputeThinU | e::ComputeThinV;
e::JacobiSVD<MatX, SVDOptions> svd(theta_mat);
e::BDCSVD<MatX, SVDOptions> svd(theta);
// e::BDCSVD<MatX, SVDOptions> svd(theta_mat);
const MatX& U = svd.matrixU();
const e::VectorX<dtype>& S = svd.singularValues();

85
src/mps.hpp
View File

@ -1,9 +1,11 @@
#pragma once
#include "util.hpp"
#include <cmath>
#include <eigen3/Eigen/Eigen>
#include <eigen3/unsupported/Eigen/CXX11/Tensor>
#include <vector>
#include <cassert>
#include <random>
#include <iostream>
@ -49,6 +51,10 @@ class MPS {
* @brief Return the dimensions of all bonds
*/
std::vector<unsigned> getChi() const;
/// @brief Return the maximum bond dimension
unsigned getChiMax() const;
/// @brief Return the average bond dimension
double getChiAverage() const;
/**
* @brief Compute the expectation value of a single-site operator on a single site
@ -75,6 +81,7 @@ class MPS {
STensor_t& S(size_t i) { return this->Ss.at(i); }
const BTensor_t& B(size_t i) const { return this->Bs.at(i); }
const STensor_t& S(size_t i) const { return this->Ss.at(i); }
// size_t getPhysicalDimension() const { return this->Bs.at(0).dimension(1); }
size_t getL() const { return this->L; }
void print() const {
for (size_t i = 0; i < this->L; i++) {
@ -98,24 +105,49 @@ class MPS {
* @returns (A, S, B) where A is the left-canonical matrix on site i (legs `vL, i, vC`),
* S are the singular values and
* B is the right-canonical matrix on site i+1, with legs `vC, j, vR`
* @note This functions maps the tensor and calls the Matrux overload of split_truncate_theta internally.
*/
template<typename dtype>
std::tuple<e::Tensor<dtype, 3>, e::Tensor<dtype, 1>, e::Tensor<dtype, 3>>
split_truncate_theta(const e::Tensor<dtype, 4>& theta, size_t chiMax, dtype eps);
template<typename dtype>
std::tuple<e::Tensor<dtype, 3>, e::Tensor<dtype, 1>, e::Tensor<dtype, 3>>
split_truncate_theta(const e::MatrixX<dtype>& theta, e::Index chivL, e::Index dL, e::Index dR, e::Index chivR, size_t chiMax, dtype eps);
template<typename T>
void applyPertubationOnB(std::vector<e::Tensor<T, 3>>& Bs, double pertubationStrength) {
std::mt19937 generator(493852934); // Mersenne twister rng
std::uniform_real_distribution<double> distribution(0.0, pertubationStrength);
for (auto it = Bs.begin(); it != Bs.end(); it++) {
double abs = 0;
for (unsigned i = 0; i < it->dimension(1); i++) {
(*it)(0, i, 0) += distribution(generator);
abs += std::pow((*it)(0, i, 0).real(), 2);
}
abs = std::sqrt(abs);
for (unsigned i = 0; i < it->dimension(1); i++) {
(*it)(0, i, 0) /= abs;
}
}
}
/**
* @brief Initialize a MPS in spin-up state
* @brief Initialize a MPS using copies of the B tensor
* @details
* Return a MPS spin-up MPS with length L and bond dimension 1
* A random pertubation up to `pertubationStrength` can be applied to each occupation number in the B tensor,
* the tensors are normalized after the pertubations are applied.
* This can help break symmetries, which can make get the simulations stuck.
*/
template<typename T>
MPS<T> initMPS_spinUp(size_t L) {
assert(L > 0);
e::Tensor<T, 3> B(1, 2, 1);
B.setZero();
B(0, 0, 0) = 1;
MPS<T> makeMPS(const e::Tensor<T, 3>& B, size_t L, double pertubationStrength) {
std::vector<e::Tensor<T, 3>> Bs(L, B);
if (pertubationStrength > 0) {
applyPertubationOnB(Bs, pertubationStrength);
}
e::Tensor<T, 1> S(1);
S(0) = 1;
std::vector<e::Tensor<T, 1>> Ss(L, S);
@ -123,24 +155,43 @@ MPS<T> initMPS_spinUp(size_t L) {
}
/**
* @brief Initialize a MPS in spin-up state
* @details
* Return a MPS spin-up MPS with length L and bond dimension 1
*/
template<typename T>
MPS<T> initMPS_spinUp(size_t L, double pertubationStrength=0) {
assert(L > 0);
e::Tensor<T, 3> B(1, 2, 1);
B.setZero();
B(0, 0, 0) = 1;
return makeMPS(B, L, pertubationStrength);
}
template<typename T>
MPS<T> initMPS_spinDown(size_t L, double pertubationStrength=0) {
assert(L > 0);
e::Tensor<T, 3> B(1, 2, 1);
B.setZero();
B(0, 1, 0) = 1;
return makeMPS(B, L, pertubationStrength);
}
/**
* @brief Initialize a MPS in spin-right state
* @details
* Return a MPS spin-right MPS with length L and bond dimension 1
*/
template<typename T>
MPS<T> initMPS_spinRight(size_t L) {
MPS<T> initMPS_spinRight(size_t L, double pertubationStrength=0) {
assert(L > 0);
e::Tensor<T, 3> B(1, 2, 1);
B.setZero();
T value = std::sqrt(0.5);
B(0, 0, 0) = value;
B(0, 1, 0) = value;
std::vector<e::Tensor<T, 3>> Bs(L, B);
e::Tensor<T, 1> S(1);
S(0) = 1;
std::vector<e::Tensor<T, 1>> Ss(L, S);
return MPS<T>(std::move(Bs), std::move(Ss));
return makeMPS(B, L, pertubationStrength);
}
@ -150,15 +201,11 @@ MPS<T> initMPS_spinRight(size_t L) {
* Return a MPS of dimension `nMax+1`, where each site is occupied by `nParticles`.
*/
template<typename T>
MPS<T> initMPS_nParticles(size_t L, size_t nMax, size_t nParticles) {
MPS<T> initMPS_nParticles(size_t L, size_t nMax, size_t nParticles, double pertubationStrength=0) {
assert(L > 0);
assert(nParticles <= nMax);
e::Tensor<T, 3> B(1, nMax+1, 1);
B.setZero();
B(0, nParticles, 0) = 1;
std::vector<e::Tensor<T, 3>> Bs(L, B);
e::Tensor<T, 1> S(1);
S(0) = 1;
std::vector<e::Tensor<T, 1>> Ss(L, S);
return MPS<T>(std::move(Bs), std::move(Ss));
return makeMPS(B, L, pertubationStrength);
}

562
src/output
View File

@ -1,562 +0,0 @@
Building: main.cpp -> ../build/main.o
In file included from main.cpp:3:
mps.hpp: In instantiation of 'std::tuple<Eigen::Tensor<dtype, 3, Storage, long int>, Eigen::Tensor<dtype, 1, Storage, long int>, Eigen::Tensor<dtype, 3, Storage, long int> > split_truncate_theta(const Eigen::Tensor<dtype, 4, Storage>&, size_t, dtype) [with dtype = std::complex<float>; unsigned int Storage = 1; size_t = long unsigned int]':
main.cpp:37:62: required from here
37 | auto [A, S, B] = split_truncate_theta<dtype, e::RowMajor>(t4, chi_max, eps);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
mps.hpp:140:83: error: no match for 'operator>' (operand types are 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' and 'std::complex<float>')
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
In file included from /usr/include/c++/14.2.1/bits/stl_algobase.h:64,
from /usr/include/c++/14.2.1/vector:62,
from ./pch.hpp:1,
from <command-line>:
/usr/include/c++/14.2.1/bits/stl_pair.h:1023:5: note: candidate: 'template<class _T1, class _T2, class _U1, class _U2> constexpr std::common_comparison_category_t<decltype (std::__detail::__synth3way(declval<_T1&>(), declval<_U1&>())), decltype (std::__detail::__synth3way(declval<_T2&>(), declval<_U2&>()))> std::operator<=>(const pair<_T1, _T2>&, const pair<_U1, _U2>&)' (reversed)
1023 | operator<=>(const pair<_T1, _T2>& __x, const pair<_U1, _U2>& __y)
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/stl_pair.h:1023:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'const std::pair<_T1, _T2>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
In file included from /usr/include/c++/14.2.1/bits/stl_algobase.h:67:
/usr/include/c++/14.2.1/bits/stl_iterator.h:576:5: note: candidate: 'template<class _IteratorL, class _IteratorR> requires three_way_comparable_with<_IteratorR, _IteratorL, std::partial_ordering> constexpr std::compare_three_way_result_t<_IteratorL, _IteratorR> std::operator<=>(const reverse_iterator<_IteratorL>&, const reverse_iterator<_IteratorR>&)' (reversed)
576 | operator<=>(const reverse_iterator<_IteratorL>& __x,
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/stl_iterator.h:576:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'const std::reverse_iterator<_IteratorL>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/bits/stl_iterator.h:1679:5: note: candidate: 'template<class _IteratorL, class _IteratorR> requires three_way_comparable_with<_IteratorR, _IteratorL, std::partial_ordering> constexpr std::compare_three_way_result_t<_IteratorL, _IteratorR> std::operator<=>(const move_iterator<_IteratorL>&, const move_iterator<_IteratorR>&)' (reversed)
1679 | operator<=>(const move_iterator<_IteratorL>& __x,
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/stl_iterator.h:1679:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'const std::move_iterator<_IteratorL>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
In file included from /usr/include/c++/14.2.1/bits/uses_allocator_args.h:39,
from /usr/include/c++/14.2.1/bits/memory_resource.h:41,
from /usr/include/c++/14.2.1/vector:87:
/usr/include/c++/14.2.1/tuple:2589:5: note: candidate: 'template<class ... _Tps, class ... _Ups> constexpr std::common_comparison_category_t<decltype (std::__detail::__synth3way(declval<_Tps&>(), declval<_Ups&>()))...> std::operator<=>(const tuple<_Ts ...>&, const tuple<_Elements ...>&)' (reversed)
2589 | operator<=>(const tuple<_Tps...>& __t, const tuple<_Ups...>& __u)
| ^~~~~~~~
/usr/include/c++/14.2.1/tuple:2589:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'const std::tuple<_Ts ...>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
In file included from /usr/include/c++/14.2.1/bits/basic_string.h:47,
from /usr/include/c++/14.2.1/string:54,
from /usr/include/c++/14.2.1/bits/locale_classes.h:40,
from /usr/include/c++/14.2.1/locale:41,
from /usr/include/c++/14.2.1/format:47,
from /usr/include/c++/14.2.1/print:41,
from ./pch.hpp:2:
/usr/include/c++/14.2.1/string_view:617:5: note: candidate: 'template<class _CharT, class _Traits> constexpr decltype (__char_traits_cmp_cat<_Traits>(0)) std::operator<=>(basic_string_view<_CharT, _Traits>, __type_identity_t<basic_string_view<_CharT, _Traits> >)' (reversed)
617 | operator<=>(basic_string_view<_CharT, _Traits> __x,
| ^~~~~~~~
/usr/include/c++/14.2.1/string_view:617:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'std::basic_string_view<_CharT, _Traits>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/bits/basic_string.h:3805:5: note: candidate: 'template<class _CharT, class _Traits, class _Alloc> constexpr decltype (__char_traits_cmp_cat<_Traits>(0)) std::operator<=>(const __cxx11::basic_string<_CharT, _Traits, _Allocator>&, const _CharT*)' (reversed)
3805 | operator<=>(const basic_string<_CharT, _Traits, _Alloc>& __lhs,
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/basic_string.h:3805:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'const std::__cxx11::basic_string<_CharT, _Traits, _Allocator>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
In file included from /usr/include/c++/14.2.1/format:48:
/usr/include/c++/14.2.1/optional:1283:5: note: candidate: 'template<class _Tp, class _Up> requires three_way_comparable_with<_Up, _Tp, std::partial_ordering> constexpr std::compare_three_way_result_t<_IteratorL, _IteratorR> std::operator<=>(const optional<_Tp>&, const optional<_Up>&)' (reversed)
1283 | operator<=>(const optional<_Tp>& __x, const optional<_Up>& __y)
| ^~~~~~~~
/usr/include/c++/14.2.1/optional:1283:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'const std::optional<_Tp>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/optional:1298:5: note: candidate: 'template<class _Tp> constexpr std::strong_ordering std::operator<=>(const optional<_Tp>&, nullopt_t)' (reversed)
1298 | operator<=>(const optional<_Tp>& __x, nullopt_t) noexcept
| ^~~~~~~~
/usr/include/c++/14.2.1/optional:1298:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'const std::optional<_Tp>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/optional:1435:5: note: candidate: 'template<class _Tp, class _Up> requires !(__is_optional_v<_Up>) && (three_way_comparable_with<_Up, _Tp, std::partial_ordering>) constexpr std::compare_three_way_result_t<_IteratorL, _IteratorR> std::operator<=>(const optional<_Tp>&, const _Up&)' (reversed)
1435 | operator<=>(const optional<_Tp>& __x, const _Up& __v)
| ^~~~~~~~
/usr/include/c++/14.2.1/optional:1435:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'const std::optional<_Tp>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
In file included from /usr/include/c++/14.2.1/bits/shared_ptr_base.h:59,
from /usr/include/c++/14.2.1/bits/shared_ptr.h:53,
from /usr/include/c++/14.2.1/chrono:49,
from /usr/include/eigen3/unsupported/Eigen/CXX11/Tensor:38,
from ./pch.hpp:4:
/usr/include/c++/14.2.1/bits/unique_ptr.h:996:5: note: candidate: 'template<class _Tp, class _Dp, class _Up, class _Ep> requires three_way_comparable_with<typename std::unique_ptr<_Tp, _Dp>::pointer, typename std::unique_ptr<_Up, _Ep>::pointer, std::partial_ordering> constexpr std::compare_three_way_result_t<typename std::unique_ptr<_Tp, _Dp>::pointer, typename std::unique_ptr<_Up, _Ep>::pointer> std::operator<=>(const unique_ptr<_Tp, _Dp>&, const unique_ptr<_Up, _Ep>&)' (reversed)
996 | operator<=>(const unique_ptr<_Tp, _Dp>& __x,
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/unique_ptr.h:996:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'const std::unique_ptr<_Tp, _Dp>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/bits/unique_ptr.h:1005:5: note: candidate: 'template<class _Tp, class _Dp> requires three_way_comparable<typename std::unique_ptr<_Tp, _Dp>::pointer, std::partial_ordering> constexpr std::compare_three_way_result_t<typename std::unique_ptr<_Tp, _Dp>::pointer> std::operator<=>(const unique_ptr<_Tp, _Dp>&, nullptr_t)' (reversed)
1005 | operator<=>(const unique_ptr<_Tp, _Dp>& __x, nullptr_t)
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/unique_ptr.h:1005:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'const std::unique_ptr<_Tp, _Dp>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/bits/shared_ptr_base.h:1809:5: note: candidate: 'template<class _Tp, class _Up, __gnu_cxx::_Lock_policy _Lp> std::strong_ordering std::operator<=>(const __shared_ptr<_Tp1, _Lp>&, const __shared_ptr<_Tp2, _Lp>&)' (reversed)
1809 | operator<=>(const __shared_ptr<_Tp, _Lp>& __a,
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/shared_ptr_base.h:1809:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'const std::__shared_ptr<_Tp1, _Lp>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/bits/shared_ptr_base.h:1815:5: note: candidate: 'template<class _Tp, __gnu_cxx::_Lock_policy _Lp> std::strong_ordering std::operator<=>(const __shared_ptr<_Tp, _Lp>&, nullptr_t)' (reversed)
1815 | operator<=>(const __shared_ptr<_Tp, _Lp>& __a, nullptr_t) noexcept
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/shared_ptr_base.h:1815:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'const std::__shared_ptr<_Tp, _Lp>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/bits/shared_ptr.h:566:5: note: candidate: 'template<class _Tp, class _Up> std::strong_ordering std::operator<=>(const shared_ptr<_Tp>&, const shared_ptr<_Tp>&)' (reversed)
566 | operator<=>(const shared_ptr<_Tp>& __a,
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/shared_ptr.h:566:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'const std::shared_ptr<_Tp>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/bits/shared_ptr.h:572:5: note: candidate: 'template<class _Tp> std::strong_ordering std::operator<=>(const shared_ptr<_Tp>&, nullptr_t)' (reversed)
572 | operator<=>(const shared_ptr<_Tp>& __a, nullptr_t) noexcept
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/shared_ptr.h:572:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'const std::shared_ptr<_Tp>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/bits/stl_iterator.h:594:5: note: candidate: 'template<class _Iterator> requires three_way_comparable<_Iterator, std::partial_ordering> constexpr std::compare_three_way_result_t<_Iterator, _Iterator> std::operator<=>(const reverse_iterator<_IteratorL>&, const reverse_iterator<_IteratorL>&)' (rewritten)
594 | operator<=>(const reverse_iterator<_Iterator>& __x,
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/stl_iterator.h:594:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' is not derived from 'const std::reverse_iterator<_IteratorL>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/bits/stl_iterator.h:1745:5: note: candidate: 'template<class _Iterator> requires three_way_comparable<_Iterator, std::partial_ordering> constexpr std::compare_three_way_result_t<_Iterator, _Iterator> std::operator<=>(const move_iterator<_IteratorL>&, const move_iterator<_IteratorL>&)' (rewritten)
1745 | operator<=>(const move_iterator<_Iterator>& __x,
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/stl_iterator.h:1745:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' is not derived from 'const std::move_iterator<_IteratorL>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
In file included from /usr/include/c++/14.2.1/vector:66:
/usr/include/c++/14.2.1/bits/stl_vector.h:2069:5: note: candidate: 'template<class _Tp, class _Alloc> constexpr std::__detail::__synth3way_t<_Iterator> std::operator<=>(const vector<_Tp, _Alloc>&, const vector<_Tp, _Alloc>&)' (rewritten)
2069 | operator<=>(const vector<_Tp, _Alloc>& __x, const vector<_Tp, _Alloc>& __y)
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/stl_vector.h:2069:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' is not derived from 'const std::vector<_Tp, _Alloc>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
In file included from /usr/include/c++/14.2.1/format:43:
/usr/include/c++/14.2.1/array:310:5: note: candidate: 'template<class _Tp, long unsigned int _Nm> constexpr std::__detail::__synth3way_t<_Iterator> std::operator<=>(const array<_Tp, _Nm>&, const array<_Tp, _Nm>&)' (rewritten)
310 | operator<=>(const array<_Tp, _Nm>& __a, const array<_Tp, _Nm>& __b)
| ^~~~~~~~
/usr/include/c++/14.2.1/array:310:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' is not derived from 'const std::array<_Tp, _Nm>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/bits/basic_string.h:3790:5: note: candidate: 'template<class _CharT, class _Traits, class _Alloc> constexpr decltype (__char_traits_cmp_cat<_Traits>(0)) std::operator<=>(const __cxx11::basic_string<_CharT, _Traits, _Allocator>&, const __cxx11::basic_string<_CharT, _Traits, _Allocator>&)' (rewritten)
3790 | operator<=>(const basic_string<_CharT, _Traits, _Alloc>& __lhs,
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/basic_string.h:3790:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' is not derived from 'const std::__cxx11::basic_string<_CharT, _Traits, _Allocator>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
In file included from /usr/include/c++/14.2.1/format:52:
/usr/include/c++/14.2.1/variant:1280:5: note: candidate: 'template<class ... _Types> requires (three_way_comparable<_Types, std::partial_ordering> && ...) constexpr std::common_comparison_category_t<typename std::__detail::__cmp3way_res_impl<_Types, _Types>::type ...> std::operator<=>(const variant<_Types ...>&, const variant<_Types ...>&)' (rewritten)
1280 | operator<=>(const variant<_Types...>& __v, const variant<_Types...>& __w)
| ^~~~~~~~
/usr/include/c++/14.2.1/variant:1280:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' is not derived from 'const std::variant<_Types ...>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
In file included from /usr/include/c++/14.2.1/map:63,
from /usr/include/eigen3/Eigen/SparseCore:16,
from /usr/include/eigen3/Eigen/Sparse:26,
from /usr/include/eigen3/Eigen/Eigen:2,
from ./pch.hpp:5:
/usr/include/c++/14.2.1/bits/stl_map.h:1533:5: note: candidate: 'template<class _Key, class _Tp, class _Compare, class _Alloc> std::__detail::__synth3way_t<std::pair<const _Key, _Val> > std::operator<=>(const map<_Key, _Tp, _Compare, _Allocator>&, const map<_Key, _Tp, _Compare, _Allocator>&)' (rewritten)
1533 | operator<=>(const map<_Key, _Tp, _Compare, _Alloc>& __x,
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/stl_map.h:1533:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' is not derived from 'const std::map<_Key, _Tp, _Compare, _Allocator>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
In file included from /usr/include/c++/14.2.1/map:64:
/usr/include/c++/14.2.1/bits/stl_multimap.h:1155:5: note: candidate: 'template<class _Key, class _Tp, class _Compare, class _Alloc> std::__detail::__synth3way_t<std::pair<const _Key, _Val> > std::operator<=>(const multimap<_Key, _Tp, _Compare, _Allocator>&, const multimap<_Key, _Tp, _Compare, _Allocator>&)' (rewritten)
1155 | operator<=>(const multimap<_Key, _Tp, _Compare, _Alloc>& __x,
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/stl_multimap.h:1155:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' is not derived from 'const std::multimap<_Key, _Tp, _Compare, _Allocator>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
In file included from /usr/include/c++/14.2.1/list:65,
from /usr/include/eigen3/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h:15,
from /usr/include/eigen3/Eigen/IterativeLinearSolvers:47,
from /usr/include/eigen3/Eigen/Sparse:31:
/usr/include/c++/14.2.1/bits/stl_list.h:2158:5: note: candidate: 'template<class _Tp, class _Alloc> std::__detail::__synth3way_t<_Iterator> std::operator<=>(const __cxx11::list<_Tp, _Alloc>&, const __cxx11::list<_Tp, _Alloc>&)' (rewritten)
2158 | operator<=>(const list<_Tp, _Alloc>& __x, const list<_Tp, _Alloc>& __y)
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/stl_list.h:2158:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' is not derived from 'const std::__cxx11::list<_Tp, _Alloc>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
In file included from /usr/include/c++/14.2.1/bits/ios_base.h:46,
from /usr/include/c++/14.2.1/bits/locale_facets.h:43,
from /usr/include/c++/14.2.1/locale:42:
/usr/include/c++/14.2.1/system_error:316:3: note: candidate: 'std::strong_ordering std::operator<=>(const error_code&, const error_code&)' (rewritten)
316 | operator<=>(const error_code& __lhs, const error_code& __rhs) noexcept
| ^~~~~~~~
/usr/include/c++/14.2.1/system_error:316:33: note: no known conversion for argument 1 from 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' to 'const std::error_code&'
316 | operator<=>(const error_code& __lhs, const error_code& __rhs) noexcept
| ~~~~~~~~~~~~~~~~~~^~~~~
/usr/include/c++/14.2.1/system_error:498:3: note: candidate: 'std::strong_ordering std::operator<=>(const error_condition&, const error_condition&)' (rewritten)
498 | operator<=>(const error_condition& __lhs,
| ^~~~~~~~
/usr/include/c++/14.2.1/system_error:498:38: note: no known conversion for argument 1 from 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' to 'const std::error_condition&'
498 | operator<=>(const error_condition& __lhs,
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/include/c++/14.2.1/variant:1303:3: note: candidate: 'constexpr std::strong_ordering std::operator<=>(monostate, monostate)' (rewritten)
1303 | operator<=>(monostate, monostate) noexcept { return strong_ordering::equal; }
| ^~~~~~~~
/usr/include/c++/14.2.1/variant:1303:15: note: no known conversion for argument 1 from 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' to 'std::monostate'
1303 | operator<=>(monostate, monostate) noexcept { return strong_ordering::equal; }
| ^~~~~~~~~
In file included from /usr/include/eigen3/unsupported/Eigen/CXX11/Tensor:45:
/usr/include/c++/14.2.1/thread:75:3: note: candidate: 'std::strong_ordering std::operator<=>(thread::id, thread::id)' (rewritten)
75 | operator<=>(thread::id __x, thread::id __y) noexcept
| ^~~~~~~~
/usr/include/c++/14.2.1/thread:75:26: note: no known conversion for argument 1 from 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' to 'std::thread::id'
75 | operator<=>(thread::id __x, thread::id __y) noexcept
| ~~~~~~~~~~~^~~
In file included from /usr/include/eigen3/Eigen/src/Core/ArrayBase.h:99,
from /usr/include/eigen3/Eigen/Core:309,
from /usr/include/eigen3/unsupported/Eigen/CXX11/Tensor:14:
/usr/include/eigen3/Eigen/src/plugins/ArrayCwiseBinaryOps.inc:204:1: note: candidate: 'template<class OtherDerived> const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<typename OtherDerived::Scalar, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::cmp_LT>, const OtherDerived, const Derived> Eigen::ArrayBase<Derived>::operator>(const Eigen::ArrayBase<OtherDerived>&) const [with Derived = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
204 | EIGEN_MAKE_CWISE_COMP_R_OP(operator>, operator<, LT)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/plugins/ArrayCwiseBinaryOps.inc:204:1: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'const Eigen::ArrayBase<Derived>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/eigen3/Eigen/src/plugins/ArrayCwiseBinaryOps.inc:204:1: note: candidate: 'const Eigen::ArrayBase<Derived>::RCmpLTReturnType Eigen::ArrayBase<Derived>::operator>(const Scalar&) const [with Derived = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >; RCmpLTReturnType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
204 | EIGEN_MAKE_CWISE_COMP_R_OP(operator>, operator<, LT)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/plugins/ArrayCwiseBinaryOps.inc:204:1: note: no known conversion for argument 1 from 'std::complex<float>' to 'const Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Scalar&' {aka 'const double&'}
204 | EIGEN_MAKE_CWISE_COMP_R_OP(operator>, operator<, LT)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14.2.1/bits/stl_iterator.h:551:5: note: candidate: 'template<class _IteratorL, class _IteratorR> constexpr bool std::operator>(const reverse_iterator<_IteratorL>&, const reverse_iterator<_IteratorR>&) requires requires{{std::operator>::__x->base() < std::operator>::__y->base()} -> decltype(auto) [requires std::convertible_to<<placeholder>, bool>];}'
551 | operator>(const reverse_iterator<_IteratorL>& __x,
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/stl_iterator.h:551:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' is not derived from 'const std::reverse_iterator<_IteratorL>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/bits/stl_iterator.h:1714:5: note: candidate: 'template<class _IteratorL, class _IteratorR> constexpr bool std::operator>(const move_iterator<_IteratorL>&, const move_iterator<_IteratorR>&) requires requires{{std::operator>::__y->base() < std::operator>::__x->base()} -> decltype(auto) [requires std::convertible_to<<placeholder>, bool>];}'
1714 | operator>(const move_iterator<_IteratorL>& __x,
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/stl_iterator.h:1714:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' is not derived from 'const std::move_iterator<_IteratorL>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/optional:1258:5: note: candidate: 'template<class _Tp, class _Up> constexpr std::__optional_gt_t<_Tp, _Up> std::operator>(const optional<_Tp>&, const optional<_Up>&)'
1258 | operator>(const optional<_Tp>& __lhs, const optional<_Up>& __rhs)
| ^~~~~~~~
/usr/include/c++/14.2.1/optional:1258:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' is not derived from 'const std::optional<_Tp>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/optional:1396:5: note: candidate: 'template<class _Tp, class _Up> constexpr std::__optional_gt_t<_Tp, _Up> std::operator>(const optional<_Tp>&, const _Up&)'
1396 | operator>(const optional<_Tp>& __lhs, const _Up& __rhs)
| ^~~~~~~~
/usr/include/c++/14.2.1/optional:1396:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' is not derived from 'const std::optional<_Tp>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/optional:1402:5: note: candidate: 'template<class _Tp, class _Up> constexpr std::__optional_gt_t<_Up, _Tp> std::operator>(const _Up&, const optional<_Tp>&)'
1402 | operator>(const _Up& __lhs, const optional<_Tp>& __rhs)
| ^~~~~~~~
/usr/include/c++/14.2.1/optional:1402:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'const std::optional<_Tp>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/variant:1269:3: note: candidate: 'template<class ... _Types> constexpr bool std::operator>(const variant<_Types ...>&, const variant<_Types ...>&)'
1269 | _VARIANT_RELATION_FUNCTION_TEMPLATE(>, greater)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14.2.1/variant:1269:3: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' is not derived from 'const std::variant<_Types ...>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/bits/unique_ptr.h:942:5: note: candidate: 'template<class _Tp, class _Dp, class _Up, class _Ep> constexpr bool std::operator>(const unique_ptr<_Tp, _Dp>&, const unique_ptr<_Up, _Ep>&)'
942 | operator>(const unique_ptr<_Tp, _Dp>& __x,
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/unique_ptr.h:942:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' is not derived from 'const std::unique_ptr<_Tp, _Dp>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/bits/unique_ptr.h:950:5: note: candidate: 'template<class _Tp, class _Dp> constexpr bool std::operator>(const unique_ptr<_Tp, _Dp>&, nullptr_t)'
950 | operator>(const unique_ptr<_Tp, _Dp>& __x, nullptr_t)
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/unique_ptr.h:950:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' is not derived from 'const std::unique_ptr<_Tp, _Dp>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/c++/14.2.1/bits/unique_ptr.h:960:5: note: candidate: 'template<class _Tp, class _Dp> constexpr bool std::operator>(nullptr_t, const unique_ptr<_Tp, _Dp>&)'
960 | operator>(nullptr_t, const unique_ptr<_Tp, _Dp>& __x)
| ^~~~~~~~
/usr/include/c++/14.2.1/bits/unique_ptr.h:960:5: note: template argument deduction/substitution failed:
mps.hpp:140:83: note: 'std::complex<float>' is not derived from 'const std::unique_ptr<_Tp, _Dp>'
140 | int chivC = static_cast<int>(std::min(chi_max, static_cast<size_t>((S.array() > eps).count())));
| ~~~~~~~~~~~^~~~~~
/usr/include/eigen3/Eigen/src/plugins/ArrayCwiseBinaryOps.inc:204:1: note: candidate: 'const Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::CmpLTReturnType Eigen::operator>(const ArrayBase<ArrayWrapper<const Matrix<double, -1, 1> > >::Scalar&, const ArrayWrapper<const Matrix<double, -1, 1> >&)'
204 | EIGEN_MAKE_CWISE_COMP_R_OP(operator>, operator<, LT)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/plugins/ArrayCwiseBinaryOps.inc:204:1: note: no known conversion for argument 1 from 'const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >' to 'const Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Scalar&' {aka 'const double&'}
204 | EIGEN_MAKE_CWISE_COMP_R_OP(operator>, operator<, LT)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/include/eigen3/Eigen/Core:300:
/usr/include/eigen3/Eigen/src/Core/Product.h: In instantiation of 'struct Eigen::internal::traits<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >':
/usr/include/eigen3/Eigen/src/Core/Product.h:248:7: required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
248 | class dense_product_base : public internal::dense_xpr_base<Product<Lhs, Rhs, Option>>::type {};
| ^~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/Product.h:276:7: required from 'class Eigen::ProductImpl<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
276 | class ProductImpl<Lhs, Rhs, Option, Dense> : public internal::dense_product_base<Lhs, Rhs, Option> {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/Product.h:198:7: required from 'class Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
198 | class Product
| ^~~~~~~
mps.hpp:159:21: required from 'std::tuple<Eigen::Tensor<dtype, 3, Storage, long int>, Eigen::Tensor<dtype, 1, Storage, long int>, Eigen::Tensor<dtype, 3, Storage, long int> > split_truncate_theta(const Eigen::Tensor<dtype, 4, Storage>&, size_t, dtype) [with dtype = std::complex<float>; unsigned int Storage = 1; size_t = long unsigned int]'
159 | MatX theta2 = U * S.asDiagonal() * V;
| ~~^~~~~~~~~~~~~~~~
main.cpp:37:62: required from here
37 | auto [A, S, B] = split_truncate_theta<dtype, e::RowMajor>(t4, chi_max, eps);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/Product.h:33:90: error: no type named 'ReturnType' in 'struct Eigen::ScalarBinaryOpTraits<std::complex<float>, double, Eigen::internal::scalar_product_op<std::complex<float>, double> >'
33 | typename traits<RhsCleaned>::Scalar>::ReturnType Scalar;
| ^~~~~~
In file included from /usr/include/eigen3/Eigen/Core:296:
/usr/include/eigen3/Eigen/src/Core/DenseBase.h: In instantiation of 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >':
/usr/include/eigen3/Eigen/src/Core/MatrixBase.h:52:7: required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
52 | class MatrixBase : public DenseBase<Derived> {
| ^~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/Product.h:248:7: required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
248 | class dense_product_base : public internal::dense_xpr_base<Product<Lhs, Rhs, Option>>::type {};
| ^~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/Product.h:276:7: required from 'class Eigen::ProductImpl<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
276 | class ProductImpl<Lhs, Rhs, Option, Dense> : public internal::dense_product_base<Lhs, Rhs, Option> {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/Product.h:198:7: required from 'class Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
198 | class Product
| ^~~~~~~
mps.hpp:159:21: required from 'std::tuple<Eigen::Tensor<dtype, 3, Storage, long int>, Eigen::Tensor<dtype, 1, Storage, long int>, Eigen::Tensor<dtype, 3, Storage, long int> > split_truncate_theta(const Eigen::Tensor<dtype, 4, Storage>&, size_t, dtype) [with dtype = std::complex<float>; unsigned int Storage = 1; size_t = long unsigned int]'
159 | MatX theta2 = U * S.asDiagonal() * V;
| ~~^~~~~~~~~~~~~~~~
main.cpp:37:62: required from here
37 | auto [A, S, B] = split_truncate_theta<dtype, e::RowMajor>(t4, chi_max, eps);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/DenseBase.h:72:15: error: 'coeff' has not been declared in 'Eigen::DenseBase<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >::Base'
72 | using Base::coeff;
| ^~~~~
/usr/include/eigen3/Eigen/src/Core/DenseBase.h:73:15: error: 'coeffByOuterInner' has not been declared in 'Eigen::DenseBase<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >::Base'
73 | using Base::coeffByOuterInner;
| ^~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/DenseBase.h:81:24: error: 'operator()' has not been declared in 'Eigen::DenseBase<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >::Base'
81 | using Base::operator();
| ^
/usr/include/eigen3/Eigen/src/Core/DenseBase.h:82:24: error: 'operator[]' has not been declared in 'Eigen::DenseBase<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >::Base'
82 | using Base::operator[];
| ^
/usr/include/eigen3/Eigen/src/Core/DenseBase.h:88:15: error: 'w' has not been declared in 'Eigen::DenseBase<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >::Base'
88 | using Base::w;
| ^
/usr/include/eigen3/Eigen/src/Core/DenseBase.h:89:15: error: 'x' has not been declared in 'Eigen::DenseBase<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >::Base'
89 | using Base::x;
| ^
/usr/include/eigen3/Eigen/src/Core/DenseBase.h:90:15: error: 'y' has not been declared in 'Eigen::DenseBase<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >::Base'
90 | using Base::y;
| ^
/usr/include/eigen3/Eigen/src/Core/DenseBase.h:91:15: error: 'z' has not been declared in 'Eigen::DenseBase<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >::Base'
91 | using Base::z;
| ^
In file included from /usr/include/eigen3/Eigen/Core:297:
/usr/include/eigen3/Eigen/src/Core/MatrixBase.h: In instantiation of 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >':
/usr/include/eigen3/Eigen/src/Core/Product.h:248:7: required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
248 | class dense_product_base : public internal::dense_xpr_base<Product<Lhs, Rhs, Option>>::type {};
| ^~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/Product.h:276:7: required from 'class Eigen::ProductImpl<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
276 | class ProductImpl<Lhs, Rhs, Option, Dense> : public internal::dense_product_base<Lhs, Rhs, Option> {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/Product.h:198:7: required from 'class Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
198 | class Product
| ^~~~~~~
mps.hpp:159:21: required from 'std::tuple<Eigen::Tensor<dtype, 3, Storage, long int>, Eigen::Tensor<dtype, 1, Storage, long int>, Eigen::Tensor<dtype, 3, Storage, long int> > split_truncate_theta(const Eigen::Tensor<dtype, 4, Storage>&, size_t, dtype) [with dtype = std::complex<float>; unsigned int Storage = 1; size_t = long unsigned int]'
159 | MatX theta2 = U * S.asDiagonal() * V;
| ~~^~~~~~~~~~~~~~~~
main.cpp:37:62: required from here
37 | auto [A, S, B] = split_truncate_theta<dtype, e::RowMajor>(t4, chi_max, eps);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/MatrixBase.h:72:15: error: 'coeff' has not been declared in 'Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >::Base'
72 | using Base::coeff;
| ^~~~~
/usr/include/eigen3/Eigen/src/Core/MatrixBase.h:77:15: error: 'eval' has not been declared in 'Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >::Base'
77 | using Base::eval;
| ^~~~
/usr/include/eigen3/Eigen/src/Core/MatrixBase.h:81:23: error: 'operator-' has not been declared in 'Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >::Base'
81 | using Base::operator-;
| ^
/usr/include/eigen3/Eigen/src/Core/MatrixBase.h:84:23: error: 'operator*=' has not been declared in 'Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >::Base'
84 | using Base::operator*=;
| ^~
/usr/include/eigen3/Eigen/src/Core/MatrixBase.h:85:23: error: 'operator/=' has not been declared in 'Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >::Base'
85 | using Base::operator/=;
| ^~
/usr/include/eigen3/Eigen/src/Core/DenseBase.h: In instantiation of 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0> >':
/usr/include/eigen3/Eigen/src/Core/MatrixBase.h:52:7: required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0> >'
52 | class MatrixBase : public DenseBase<Derived> {
| ^~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/Product.h:248:7: required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0, 8>'
248 | class dense_product_base : public internal::dense_xpr_base<Product<Lhs, Rhs, Option>>::type {};
| ^~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/Product.h:276:7: required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0, Eigen::Dense>'
276 | class ProductImpl<Lhs, Rhs, Option, Dense> : public internal::dense_product_base<Lhs, Rhs, Option> {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/Product.h:198:7: required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0>'
198 | class Product
| ^~~~~~~
mps.hpp:159:38: required from 'std::tuple<Eigen::Tensor<dtype, 3, Storage, long int>, Eigen::Tensor<dtype, 1, Storage, long int>, Eigen::Tensor<dtype, 3, Storage, long int> > split_truncate_theta(const Eigen::Tensor<dtype, 4, Storage>&, size_t, dtype) [with dtype = std::complex<float>; unsigned int Storage = 1; size_t = long unsigned int]'
159 | MatX theta2 = U * S.asDiagonal() * V;
| ~~~~~~~~~~~~~~~~~~~^~~
main.cpp:37:62: required from here
37 | auto [A, S, B] = split_truncate_theta<dtype, e::RowMajor>(t4, chi_max, eps);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/DenseBase.h:72:15: error: 'coeff' has not been declared in 'Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0> >::Base'
72 | using Base::coeff;
| ^~~~~
/usr/include/eigen3/Eigen/src/Core/DenseBase.h:73:15: error: 'coeffByOuterInner' has not been declared in 'Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0> >::Base'
73 | using Base::coeffByOuterInner;
| ^~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/DenseBase.h:81:24: error: 'operator()' has not been declared in 'Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0> >::Base'
81 | using Base::operator();
| ^
/usr/include/eigen3/Eigen/src/Core/DenseBase.h:82:24: error: 'operator[]' has not been declared in 'Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0> >::Base'
82 | using Base::operator[];
| ^
/usr/include/eigen3/Eigen/src/Core/DenseBase.h:88:15: error: 'w' has not been declared in 'Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0> >::Base'
88 | using Base::w;
| ^
/usr/include/eigen3/Eigen/src/Core/DenseBase.h:89:15: error: 'x' has not been declared in 'Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0> >::Base'
89 | using Base::x;
| ^
/usr/include/eigen3/Eigen/src/Core/DenseBase.h:90:15: error: 'y' has not been declared in 'Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0> >::Base'
90 | using Base::y;
| ^
/usr/include/eigen3/Eigen/src/Core/DenseBase.h:91:15: error: 'z' has not been declared in 'Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0> >::Base'
91 | using Base::z;
| ^
/usr/include/eigen3/Eigen/src/Core/MatrixBase.h: In instantiation of 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0> >':
/usr/include/eigen3/Eigen/src/Core/Product.h:248:7: required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0, 8>'
248 | class dense_product_base : public internal::dense_xpr_base<Product<Lhs, Rhs, Option>>::type {};
| ^~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/Product.h:276:7: required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0, Eigen::Dense>'
276 | class ProductImpl<Lhs, Rhs, Option, Dense> : public internal::dense_product_base<Lhs, Rhs, Option> {
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/Product.h:198:7: required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0>'
198 | class Product
| ^~~~~~~
mps.hpp:159:38: required from 'std::tuple<Eigen::Tensor<dtype, 3, Storage, long int>, Eigen::Tensor<dtype, 1, Storage, long int>, Eigen::Tensor<dtype, 3, Storage, long int> > split_truncate_theta(const Eigen::Tensor<dtype, 4, Storage>&, size_t, dtype) [with dtype = std::complex<float>; unsigned int Storage = 1; size_t = long unsigned int]'
159 | MatX theta2 = U * S.asDiagonal() * V;
| ~~~~~~~~~~~~~~~~~~~^~~
main.cpp:37:62: required from here
37 | auto [A, S, B] = split_truncate_theta<dtype, e::RowMajor>(t4, chi_max, eps);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/MatrixBase.h:72:15: error: 'coeff' has not been declared in 'Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0> >::Base'
72 | using Base::coeff;
| ^~~~~
/usr/include/eigen3/Eigen/src/Core/MatrixBase.h:77:15: error: 'eval' has not been declared in 'Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0> >::Base'
77 | using Base::eval;
| ^~~~
/usr/include/eigen3/Eigen/src/Core/MatrixBase.h:81:23: error: 'operator-' has not been declared in 'Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0> >::Base'
81 | using Base::operator-;
| ^
/usr/include/eigen3/Eigen/src/Core/MatrixBase.h:84:23: error: 'operator*=' has not been declared in 'Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0> >::Base'
84 | using Base::operator*=;
| ^~
/usr/include/eigen3/Eigen/src/Core/MatrixBase.h:85:23: error: 'operator/=' has not been declared in 'Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<std::complex<float>, -1, -1, 1, -1, -1>, 0> >::Base'
85 | using Base::operator/=;
| ^~
/usr/include/c++/14.2.1/format: In instantiation of 'class std::__format::_Checking_scanner<char, std::complex<float> >':
/usr/include/c++/14.2.1/format:4210:4: required from 'consteval std::basic_format_string<_CharT, _Args>::basic_format_string(const _Tp&) [with _Tp = char [4]; _CharT = char; _Args = {std::complex<float>&}]'
4210 | __scanner(_M_str);
| ^~~~~~~~~
mps.hpp:162:19: required from 'std::tuple<Eigen::Tensor<dtype, 3, Storage, long int>, Eigen::Tensor<dtype, 1, Storage, long int>, Eigen::Tensor<dtype, 3, Storage, long int> > split_truncate_theta(const Eigen::Tensor<dtype, 4, Storage>&, size_t, dtype) [with dtype = std::complex<float>; unsigned int Storage = 1; size_t = long unsigned int]'
162 | std::print("{} ", theta2.data()[i]);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
main.cpp:37:62: required from here
37 | auto [A, S, B] = split_truncate_theta<dtype, e::RowMajor>(t4, chi_max, eps);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/include/c++/14.2.1/format:4065:10: error: static assertion failed: std::formatter must be specialized for each type being formatted
4065 | (is_default_constructible_v<formatter<_Args, _CharT>> && ...),
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14.2.1/format:4065:10: note: 'std::is_default_constructible_v<std::formatter<std::complex<float>, char> >' evaluates to false
/usr/include/c++/14.2.1/format: In instantiation of 'constexpr void std::__format::_Checking_scanner<_CharT, _Args>::_M_parse_format_spec(std::size_t) [with _Tp = std::complex<float>; _OtherArgs = {}; _CharT = char; _Args = {std::complex<float>}; std::size_t = long unsigned int]':
/usr/include/c++/14.2.1/format:4082:33: required from 'std::tuple<Eigen::Tensor<dtype, 3, Storage, long int>, Eigen::Tensor<dtype, 1, Storage, long int>, Eigen::Tensor<dtype, 3, Storage, long int> > split_truncate_theta(const Eigen::Tensor<dtype, 4, Storage>&, size_t, dtype) [with dtype = std::complex<float>; unsigned int Storage = 1; size_t = long unsigned int]'
4082 | _M_parse_format_spec<_Args...>(__id);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
main.cpp:37:62: required from here
37 | auto [A, S, B] = split_truncate_theta<dtype, e::RowMajor>(t4, chi_max, eps);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
mps.hpp:162:19: in 'constexpr' expansion of 'std::basic_format_string<char, std::complex<float>&>("{} ")'
/usr/include/c++/14.2.1/format:4211:19: in 'constexpr' expansion of '__scanner.std::__format::_Checking_scanner<char, std::complex<float> >::std::__format::_Scanner<char>.std::__format::_Scanner<char>::_M_scan()'
/usr/include/c++/14.2.1/format:3952:30: in 'constexpr' expansion of '((std::__format::_Scanner<char>*)this)->std::__format::_Scanner<char>::_M_on_replacement_field()'
/usr/include/c++/14.2.1/format:4004:15: in 'constexpr' expansion of '((std::__format::_Scanner<char>*)this)->std::__format::_Scanner<char>::_M_format_arg(__id)'
/usr/include/c++/14.2.1/format:4095:38: error: use of deleted function 'std::formatter<_Tp, _CharT>::formatter() [with _Tp = std::complex<float>; _CharT = char]'
4095 | formatter<_Tp, _CharT> __f;
| ^~~
/usr/include/c++/14.2.1/format:178:7: note: declared here
178 | formatter() = delete; // No std::formatter specialization for this type.
| ^~~~~~~~~
/usr/include/c++/14.2.1/format:4095:38: note: use '-fdiagnostics-all-candidates' to display considered candidates
4095 | formatter<_Tp, _CharT> __f;
| ^~~
/usr/include/c++/14.2.1/format:4096:42: error: 'class std::formatter<std::complex<float>, char>' has no member named 'parse'
4096 | this->_M_pc.advance_to(__f.parse(this->_M_pc));
| ~~~~^~~~~
mps.hpp: In instantiation of 'std::tuple<Eigen::Tensor<dtype, 3, Storage, long int>, Eigen::Tensor<dtype, 1, Storage, long int>, Eigen::Tensor<dtype, 3, Storage, long int> > split_truncate_theta(const Eigen::Tensor<dtype, 4, Storage>&, size_t, dtype) [with dtype = std::complex<float>; unsigned int Storage = 1; size_t = long unsigned int]':
main.cpp:37:62: required from here
37 | auto [A, S, B] = split_truncate_theta<dtype, e::RowMajor>(t4, chi_max, eps);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
mps.hpp:162:19: error: call to consteval function 'std::basic_format_string<char, std::complex<float>&>("{} ")' is not a constant expression
162 | std::print("{} ", theta2.data()[i]);
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/include/eigen3/Eigen/Core:175:
/usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'constexpr void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Matrix<float, -1, 1>; Func = assign_op<double, float>]':
/usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:770:39: required from 'constexpr Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<float, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
770 | internal::call_assignment_no_alias(this->derived(), other.derived(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
771 | internal::assign_op<Scalar, typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:565:17: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<float, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
565 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/usr/include/eigen3/Eigen/src/Core/Matrix.h:386:108: required from 'Eigen::Matrix<Scalar_, Rows_, Cols_, Options_, MaxRows_, MaxCols_>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<float, -1, 1>; Scalar_ = double; int Rows_ = -1; int Cols_ = 1; int Options_ = 0; int MaxRows_ = -1; int MaxCols_ = 1]'
386 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Matrix(const EigenBase<OtherDerived>& other) : Base(other.derived()) {}
| ^
mps.hpp:136:24: required from 'std::tuple<Eigen::Tensor<dtype, 3, Storage, long int>, Eigen::Tensor<dtype, 1, Storage, long int>, Eigen::Tensor<dtype, 3, Storage, long int> > split_truncate_theta(const Eigen::Tensor<dtype, 4, Storage>&, size_t, dtype) [with dtype = std::complex<float>; unsigned int Storage = 1; size_t = long unsigned int]'
136 | const e::VectorXd& S = svd.singularValues();
| ^
main.cpp:37:62: required from here
37 | auto [A, S, B] = split_truncate_theta<dtype, e::RowMajor>(t4, chi_max, eps);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:839:3: error: static assertion failed: YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY
839 | EIGEN_CHECK_BINARY_COMPATIBILIY(Func, typename ActualDstTypeCleaned::Scalar, typename Src::Scalar);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:839:3: note: 'Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<double, float, Eigen::internal::assign_op<double, float> > >::value' evaluates to false
make: *** [Makefile:47: ../build/main.o] Error 1

390
src/run.cpp
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@ -1,390 +0,0 @@
#include <memory>
#include <type_traits>
#ifdef EMSCRIPTEN
#include <cmath>
#include <print>
// #include <array>
#include "mps.hpp"
#include "transverse_field_ising.hpp"
#include "bose_hubbard.hpp"
#include "tebd.hpp"
#include "util.hpp"
#include "type.hpp"
#include <functional>
#include <stdexcept>
#include <emscripten.h>
#include <emscripten/bind.h>
namespace ems = emscripten;
using TfiModel = TransverseFieldIsingModel1D<dtype>;
using BhModel = BoseHubbardModel1D<dtype>;
/**
* @brief A class for generating a range of values.
* @details
* Returns `nSteps` values with `start` being the first and `stop` being the last value.
* The same value is returned `countsPerStep` times before the next value is returned.
* After the last `stop` value has been returned, the cycle is restarted from the first `start` value.
*/
template<typename T>
struct Range {
using value_type = T;
Range(T start, T stop, unsigned nSteps, unsigned countsPerStep=1) : start(start), stop(stop), nSteps(nSteps), stepCounter(0), countsPerStep(countsPerStep), counter(0) {
if (nSteps <= 1) {
throw std::invalid_argument("nSteps must be greater than 1");
}
step = (stop - start) / (nSteps - 1);
};
T getNext() {
T result = start + stepCounter * step;
if (++counter >= countsPerStep) {
counter = 0;
if (++stepCounter >= nSteps) {
stepCounter = 0;
}
}
return result;
};
private:
T start;
T stop;
T step;
unsigned nSteps;
unsigned stepCounter;
unsigned countsPerStep;
unsigned counter;
};
/**
* This ugly mechanism lets the javascript pass
* any combination of Range and basic types to a function.
* Every time the function is called, the Range classes will return a new value while the rest stays the same.
*/
template<class T, template<class> class U>
inline constexpr bool is_instance_of_v = std::false_type{};
template<template<class> class U, class V>
inline constexpr bool is_instance_of_v<U<V>,U> = std::true_type{};
template<typename T>
concept isRange = is_instance_of_v<std::remove_reference_t<T>, Range>;
// All types except Range
template <typename T, typename Enable = void>
struct transform_type {
using type = T;
};
// Range
template <typename T>
struct transform_type<T, std::enable_if_t<isRange<T>>> {
using type = typename std::remove_reference_t<T>::value_type; // If T is a Range, return its value_type
};
static_assert(isRange<Range<int>>);
static_assert(isRange<Range<double>&>);
static_assert(!isRange<double>);
// Dispatcher
template<isRange T>
std::remove_reference_t<T>::value_type processType(T&& obj) {
return obj.getNext();
}
template<typename T>
requires(!isRange<T>)
T processType(T obj) {
return obj;
}
/// Make a shared model pointer from a arguments, which may contain Range objects
template<typename Model, typename... Args>
std::shared_ptr<Model> makeModel(Args&&... args) {
std::tuple<typename transform_type<Args>::type...> results = std::make_tuple(processType(std::forward<Args>(args))...);
return std::apply([](auto&&... args) { return std::make_shared<Model>(args...); }, results);
}
// template<typename Arg>
// void printArgs(Arg&& val) {
// std::cout << val << std::endl;
// }
// template<typename Arg, typename... Args>
// void printArgs(Arg&& val, Args&&... values) {
// std::cout << val << ", ";
// printArgs(std::forward<Args>(values)...);
// }
// template<typename... Args>
// void processDebug(Args&&... args) {
// std::tuple<typename transform_type<Args>::type...> results = std::make_tuple(processType(std::forward<Args>(args))...);
// std::apply([](auto&&... args){ printArgs(args...); }, results);
// }
/**
*/
template<typename Model>
class Results {
public:
virtual ~Results() {};
virtual postUpdateFunction_t<dtype> getPostUpdateFunction(std::shared_ptr<Model> model) = 0;
virtual void postUpdateFunction(std::shared_ptr<Model> model, const MPS<dtype>& psi) = 0;
};
class TfiResults : public Results<TfiModel> {
public:
using Model_t = TfiModel;
TfiResults(ems::val callback) : callback(callback) {
sigmaZ.setValues({{1, 0}, {0, -1}});
};
/// @todo write a second postUpdateFunction without the JS callback and return that one if callback is null
postUpdateFunction_t<dtype> getPostUpdateFunction(std::shared_ptr<TfiModel> model) override {
return [model, this](const MPS<dtype>& psi, unsigned i){ this->postUpdateFunction(model, psi); };
}
void postUpdateFunction(std::shared_ptr<TfiModel> model, const MPS<dtype>& psi) override {
auto Mval = psi.getSiteExpectationValueSum(this->sigmaZ).real();
auto Eval = model->energy(psi).real();
auto Sval = psi.getEntanglementEntropy(psi.getL()/2).real();
callback(Mval, Eval, Sval);
// hand control back to browser, otherwise site hangs and callback will not be executed
emscripten_sleep(0);
}
private:
e::TensorFixedSize<dtype, e::Sizes<2, 2>> sigmaZ;
ems::val callback;
};
/**
* @brief Measures <N>, E and S
*/
class BoseHubbardResults : public Results<BhModel> {
public:
BoseHubbardResults(ems::val callback) : callback(callback) {};
postUpdateFunction_t<dtype> getPostUpdateFunction(std::shared_ptr<BhModel> model) override {
return [this, model](const MPS<dtype>& psi, unsigned) { this->postUpdateFunction(model, psi); };
}
void postUpdateFunction(std::shared_ptr<BhModel> model, const MPS<dtype>& psi) override {
e::TensorMap<const e::Tensor<dtype, 2>> particleNumberOperator(model->getLadderOperators().getN().data(), model->localDim, model->localDim);
auto Nval = psi.getSiteExpectationValueSum(particleNumberOperator).real() / model->L;
auto Eval = model->energy(psi).real();
auto Sval = psi.getEntanglementEntropy(model->L/2).real();
callback(Nval, Eval, Sval);
// hand control back to browser, otherwise site hangs and callback will not be executed
emscripten_sleep(0);
}
private:
ems::val callback;
};
// EMSCRIPTEN_BINDINGS(my_class_example) {
// class_<MyClass>("MyClass")
// .constructor<int, std::string>()
// .function("incrementX", &MyClass::incrementX)
// .property("x", &MyClass::getX, &MyClass::setX)
// .property("x_readonly", &MyClass::getX)
// .class_function("getStringFromInstance", &MyClass::getStringFromInstance)
// ;
// };
enum Tfi_INIT {
INIT_SPIN_UP = 0,
};
// struct Tfi {
// Tfi(unsigned L, double _g, double _J, Tfi_INIT init) {
// throwIfLessThan(L, 2u, "L");
// dtype g(_g);
// dtype J(_J);
// throwIfNaN(g, "g");
// throwIfNaN(J, "J");
// this->model = TfiModel<dtype>(L, J, g);
// if (init == INIT_SPIN_UP) {
// mps = initMPSspinUp<dtype>(L);
// }
// }
// TfiModel<dtype> model;
// MPS<dtype> mps;
// };
// TODO unify
// Model1D<dtype> initModel_Tfi(unsigned L, double _g, double _J) {
// dtype g(_g);
// dtype J(_J);
// throwIfNaN(g, "g");
// throwIfNaN(J, "J");
// throwIfLessThan(L, 3u, "L");
// return TfiModel<dtype>(L, J, g);
// }
enum class TEBD_TYPE {
BRICKWALL = 0,
SECOND_ORDER = 1,
};
// EMSCRIPTEN_BINDINGS(tebd_module) {
// enum_<TEBD_TYPE>(TEBD_BRICKWALL)
// .value("TEBD_BRICKWALL", TEBD_BRICKWALL)
// ;
// class<MPS<dtype>>("MPS")
// .constructor<unsigned>()
// .function("getL", &MPS<dtype>::getL)
// .function("getN", &MPS<dtype>::getN)
// .function("getN_real",
// };
/**
* @brief Run TEBD on a model and measure energy, magnetization and half-chain entropy after each TEBD iteration
* @param callback: A javascript function taking 3 parameters, M, E and S after each iteration
*/
template<typename Model>
void runTEBD(MPS<dtype>& psi, const std::shared_ptr<Model> model, unsigned nSteps, double dtReal, double dtImag, double _eps, unsigned chiMax, TEBD_TYPE type, Results<Model>& result) {
dtype eps(_eps);
dtype dt(dtReal, dtImag);
// Sanity checks
throwIfNaN(eps, "eps");
throwIfNaN(dt, "dt");
throwIfLessThan(nSteps, 1u, "nSteps");
throwIfLessThan(chiMax, 1u, "chiMax");
if (psi.getL() != model->L) {
throw std::runtime_error("psi and model have different L");
}
std::println("Running TEBD type={}, nSteps={}, dt={}, eps={}, chiMax={}", static_cast<int>(type), nSteps, dt, eps, chiMax);
// collect M over time in an array
auto F = result.getPostUpdateFunction(model);
// initial values now
F(psi, 0);
// std::println("Bonds:");
const auto& bondsMat = model->getH_BondsMatrices();
// std::cout << "First: \n" << *(bondsMat.front()) << std::endl;
// std::cout << "Secnd: \n" << *(bondsMat.at(1)) << std::endl;
// std::cout << "Last : \n" << *(bondsMat.back()) << std::endl;
// const Bonds<dtype> bonds = model.getH_Bonds();
const Bonds<dtype> bonds = getTimeEvolutionMatrices(model->getH_BondsMatrices(), dt, model->localDim);
// std::println("U:");
// int i = 0;
// for (const auto& bond : bonds) {
// printTensor(*bond, std::format("Bond[{:02}]", i));
// i++;
// }
if (type == TEBD_TYPE::BRICKWALL) {
runTEBD_brickwall(psi, bonds, chiMax, eps, nSteps, F);
} else if (type == TEBD_TYPE::SECOND_ORDER) {
const Bonds<dtype> bondsHalf = getTimeEvolutionMatrices(model->getH_BondsMatrices(), dt/2., model->localDim);
runTEBD_secondOrder(psi, bonds, bondsHalf, chiMax, eps, nSteps, F);
} else {
throw std::invalid_argument(std::format("Got invalid TEBD_TYPE: {}", static_cast<int>(type)));
}
std::println("Chis: {}", psi.getChi());
std::println("Collapse: {}", psi.collapse(0));
};
// @TODO
template<typename Model, typename... ModelArgs>
void runTEBD_phaseDiagram(MPS<dtype>& psiI, unsigned nSteps, double dtReal, double dtImag, double _eps, unsigned chiMax, TEBD_TYPE type, unsigned nValues, Results<Model>& result, ModelArgs&&... args) {
dtype eps(_eps);
dtype dt(dtReal, dtImag);
size_t L = psiI.getL();
// Sanity checks
throwIfNaN(eps, "eps");
throwIfNaN(dt, "dt");
throwIfLessThan(nSteps, 2u, "nSteps");
throwIfLessThan(chiMax, 1u, "chiMax");
std::println("Running TEBD type={}, nSteps={}, dt={}, eps={}, chiMax={}", static_cast<int>(type), nSteps, dt, eps, chiMax);
postUpdateFunction_t<dtype> F = [](const MPS<dtype>&, unsigned) {
emscripten_sleep(0);
};
for (unsigned i = 0; i < nValues; i++) {
// TfiModel model(L, U, g);
std::shared_ptr<Model> model = makeModel<Model>(std::forward<ModelArgs>(args)...);
std::println("{:02} - Model: {}", i, *model);
auto psi = psiI;
const Bonds<dtype> bonds = getTimeEvolutionMatrices(model->getH_BondsMatrices(), dt, model->localDim);
runTEBD_brickwall(psi, bonds, chiMax, eps, nSteps, F);
result.postUpdateFunction(model, psi);
}
}
void test(unsigned x) {
Range<double> range(0, 1.0, 3, 2);
std::println("test({})", x);
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("{}", processType(0.5));
std::println("{}", processType(range));
// processDebug(range, 4.3, -3, range);
// process2(range);
}
EMSCRIPTEN_BINDINGS(run) {
// see https://emscripten.org/docs/porting/connecting_cpp_and_javascript/embind.html#advanced-class-concepts
// Results
ems::class_<Results<TfiModel>>("ResultsBaseTfi");
ems::class_<Results<BhModel>>("ResultsBaseBh");
ems::class_<TfiResults, ems::base<Results<TfiModel>>>("ResultsTfi")
.constructor<ems::val>()
;
ems::class_<BoseHubbardResults, ems::base<Results<BhModel>>>("ResultsBh")
.constructor<ems::val>()
;
// Models
ems::class_<Model1D<dtype>>("Model1D")
.smart_ptr<std::shared_ptr<Model1D<dtype>>>("Model1D")
;
ems::class_<TfiModel, ems::base<Model1D<dtype>>>("ModelTfi")
// .constructor<unsigned, double ,double>()
.smart_ptr_constructor("ModelTfi", &std::make_shared<TfiModel, unsigned, double ,double>)
;
ems::class_<BhModel, ems::base<Model1D<dtype>>>("ModelBh")
// .constructor<unsigned, double, double, double, unsigned>()
.smart_ptr_constructor("ModelBh", &std::make_shared<BhModel, unsigned, double, double, double, unsigned>)
;
ems::class_<Range<double>>("DoubleRange")
.constructor<double, double, unsigned, unsigned>()
;
// Other
ems::class_<MPS<dtype>>("MPS");
ems::function("initMpsSpinUp", &initMPS_spinUp<dtype>);
ems::function("initMpsSpinRight", &initMPS_spinRight<dtype>);
ems::function("initMpsNParticles", &initMPS_nParticles<dtype>);
// ems::function("initMPS_spinUp", &initMPS_spinUp);
ems::register_vector<double>("stdVectorDouble");
ems::register_vector<std::vector<double>>("stdVectorDouble2D");
// ems::class_<Results>("TEBDResults")
// .property("M", &Results::M)
// .property("E", &Results::E)
// .property("S", &Results::S)
// ;
ems::enum_<TEBD_TYPE>("TEBD_TYPE")
.value("BRICKWALL", TEBD_TYPE::BRICKWALL)
.value("SECOND_ORDER", TEBD_TYPE::SECOND_ORDER)
;
ems::function("runTebdTfi", &runTEBD<TfiModel>);
ems::function("runTebdPhaseDiagramTfi", &runTEBD_phaseDiagram<TfiModel, unsigned, Range<double>, Range<double>>);
ems::function("runTebdBh", &runTEBD<BhModel>);
ems::function("runTebdPhaseDiagramBh", &runTEBD_phaseDiagram<BhModel, unsigned, double, Range<double>, Range<double>, unsigned>);
ems::function("test", &test);
};
#endif

2
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/// the datatype for all template instantiations
using dtype = std::complex<double>;
// template<int N>
// using Tensor = std::shared_ptr<e::Tensor<dtype, N>>;

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#pragma once
#ifdef EMSCRIPTEN
#include <emscripten.h>
#include <emscripten/bind.h>
namespace ems = emscripten;
// #warning emscripten
#else
// #warning noEmscripten
#include <print>
/**
* @brief Allow using ems::val without emscripten
*/
namespace ems {
struct val {
template<typename... Args>
void operator()(Args...) {
std::println("Callback called");
}
};
}
inline void emscripten_sleep(int time) {
std::println("emscripten_sleep({})", time);
}
#endif

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#pragma once
#include <memory>
#include <stdexcept>
/**
* @brief A class for generating a range of values.
* @details
* Returns `nSteps` values with `start` being the first and `stop` being the last value.
* The same value is returned `countsPerStep` times before the next value is returned.
* After the last `stop` value has been returned, the cycle is restarted from the first `start` value.
*/
template<typename T>
struct Range {
using value_type = T;
Range(T start, T stop, unsigned nSteps, unsigned countsPerStep=1) : start(start), stop(stop), nSteps(nSteps), stepCounter(0), countsPerStep(countsPerStep), counter(0) {
if (nSteps <= 1) {
throw std::invalid_argument("nSteps must be greater than 1");
}
step = (stop - start) / (nSteps - 1);
};
T getNext() {
T result = start + stepCounter * step;
if (++counter >= countsPerStep) {
counter = 0;
if (++stepCounter >= nSteps) {
stepCounter = 0;
}
}
return result;
};
private:
T start;
T stop;
T step;
unsigned nSteps;
unsigned stepCounter;
unsigned countsPerStep;
unsigned counter;
};
/**
* This ugly mechanism lets the javascript pass
* any combination of Range and basic types to a function.
* Every time the function is called, the Range classes will return a new value while the rest stays the same.
*/
template<class T, template<class> class U>
inline constexpr bool is_instance_of_v = std::false_type{};
template<template<class> class U, class V>
inline constexpr bool is_instance_of_v<U<V>,U> = std::true_type{};
template<typename T>
concept isRange = is_instance_of_v<std::remove_reference_t<T>, Range>;
// All types except Range
template <typename T, typename Enable = void>
struct transform_type {
using type = T;
};
// Range
template <typename T>
struct transform_type<T, std::enable_if_t<isRange<T>>> {
using type = typename std::remove_reference_t<T>::value_type; // If T is a Range, return its value_type
};
static_assert(isRange<Range<int>>);
static_assert(isRange<Range<double>&>);
static_assert(!isRange<double>);
// Dispatcher
template<isRange T>
std::remove_reference_t<T>::value_type processType(T&& obj) {
return obj.getNext();
}
template<typename T>
requires(!isRange<T>)
T processType(T obj) {
return obj;
}
/// Make a shared model pointer from a arguments, which may contain Range objects
template<typename Model, typename... Args>
std::shared_ptr<Model> makeModel(Args&&... args) {
std::tuple<typename transform_type<Args>::type...> results = std::make_tuple(processType(std::forward<Args>(args))...);
return std::apply([](auto&&... args) { return std::make_shared<Model>(args...); }, results);
}

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#pragma once
#include "algorithms/tebd.hpp"
#include "mps.hpp"
#include "models/transverse_field_ising.hpp"
#include "models/bose_hubbard.hpp"
#include "emscripten.hpp"
#include <cstdlib>
#include <iterator>
#include <limits>
#include <numeric>
#include <print>
using TfiModel = TransverseFieldIsingModel1D<dtype>;
using BhModel = BoseHubbardModel1D<dtype>;
template<typename Model>
class Results {
public:
virtual ~Results() {};
virtual postUpdateFunction_t<dtype> getPostUpdateFunction(std::shared_ptr<Model> model) = 0;
virtual bool postUpdateFunction(std::shared_ptr<Model> model, const MPS<dtype>& psi) = 0;
};
class TfiResults : public Results<TfiModel> {
public:
using Model_t = TfiModel;
TfiResults(ems::val callback, double convergence) : callback(callback), convergence(convergence), previousE(std::numeric_limits<double>::max()) {
sigmaZ.setValues({{1, 0}, {0, -1}});
};
/// @todo write a second postUpdateFunction without the JS callback and return that one if callback is null
postUpdateFunction_t<dtype> getPostUpdateFunction(std::shared_ptr<TfiModel> model) override {
return [this, model](const MPS<dtype>& psi, unsigned i){ return this->postUpdateFunction(model, psi); };
}
bool postUpdateFunction(std::shared_ptr<TfiModel> model, const MPS<dtype>& psi) override {
auto Mval = psi.getSiteExpectationValueSum(this->sigmaZ).real() / psi.getL();
auto Eval = model->energy(psi).real();
auto Sval = psi.getEntanglementEntropy(psi.getL()/2).real();
auto chiVal = psi.getChiMax();
callback(Mval, Eval, Sval, chiVal);
// hand control back to browser, otherwise site hangs and callback will not be executed
emscripten_sleep(0);
if (std::abs(Eval - previousE) < convergence) return true;
previousE = Eval;
return false;
}
private:
e::TensorFixedSize<dtype, e::Sizes<2, 2>> sigmaZ;
ems::val callback;
double convergence;
double previousE;
};
/**
* @brief Measures <N>, E and S
*/
class BoseHubbardResults : public Results<BhModel> {
public:
BoseHubbardResults(ems::val callback, double convergence) : callback(callback), convergence(convergence), previousE(std::numeric_limits<double>::max()){};
postUpdateFunction_t<dtype> getPostUpdateFunction(std::shared_ptr<BhModel> model) override {
return [this, model](const MPS<dtype>& psi, unsigned) { return this->postUpdateFunction(model, psi); };
}
bool postUpdateFunction(std::shared_ptr<BhModel> model, const MPS<dtype>& psi) override {
e::TensorMap<const e::Tensor<dtype, 2>> particleNumberOperator(model->getLadderOperators().getN().data(), model->localDim, model->localDim);
auto Nval = psi.getSiteExpectationValueSum(particleNumberOperator).real() / model->L;
auto Eval = model->energy(psi).real();
auto Sval = psi.getEntanglementEntropy(model->L/2).real();
auto chiVal = psi.getChiMax();
callback(Nval, Eval, Sval, chiVal);
// hand control back to browser, otherwise site hangs and callback will not be executed
emscripten_sleep(0);
if (std::abs(Eval - previousE) < convergence) return true;
previousE = Eval;
return false;
}
private:
ems::val callback;
double convergence;
double previousE;
};

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#include "wasm/run.hpp"
#ifndef BUILD_OPTIONS_STRING
#define BUILD_OPTIONS_STRING "unknown"
#endif
std::string getBuildOptions() {
return BUILD_OPTIONS_STRING;
}
void test(unsigned x) {
Range<double> range(0, 1.0, 3, 2);
std::println("test({})", x);
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("range({})", range.getNext());
std::println("{}", processType(0.5));
std::println("{}", processType(range));
// processDebug(range, 4.3, -3, range);
// process2(range);
}
/**
* @brief Function used to test performance in the browser
*/
int testPerformance() {
e::Tensor<dtype, 4> t4(4, 16, 16, 4);
auto data = t4.data();
for (unsigned i = 0; i < t4.size(); i++) {
data[i] = i;
}
auto [A, S, B] = split_truncate_theta<dtype>(t4, 20, 1e-10);
e::Tensor<dtype, 4> t4reconstructedButNormalized = A.contract(diagonal(S).contract(B, e::array<iP, 1>{iP{1, 0}}), e::array<iP, 1>{iP{2, 0}});
return t4reconstructedButNormalized.size();
}
#ifdef EMSCRIPTEN
EMSCRIPTEN_BINDINGS(run) {
// see https://emscripten.org/docs/porting/connecting_cpp_and_javascript/embind.html#advanced-class-concepts
// RESULTS
ems::class_<Results<TfiModel>>("ResultsBaseTfi");
ems::class_<Results<BhModel>>("ResultsBaseBh");
ems::class_<TfiResults, ems::base<Results<TfiModel>>>("ResultsTfi")
.constructor<ems::val, double>()
;
ems::class_<BoseHubbardResults, ems::base<Results<BhModel>>>("ResultsBh")
.constructor<ems::val, double>()
;
// MODELS
ems::class_<Model1D<dtype>>("Model1D")
.smart_ptr<std::shared_ptr<Model1D<dtype>>>("Model1D")
;
ems::class_<TfiModel, ems::base<Model1D<dtype>>>("ModelTfi")
// .constructor<unsigned, double ,double>()
.smart_ptr_constructor("ModelTfi", &std::make_shared<TfiModel, unsigned, double ,double>)
;
ems::class_<BhModel, ems::base<Model1D<dtype>>>("ModelBh")
// .constructor<unsigned, double, double, double, unsigned>()
.smart_ptr_constructor("ModelBh", &std::make_shared<BhModel, unsigned, double, double, double, unsigned>)
;
ems::class_<Range<double>>("DoubleRange")
.constructor<double, double, unsigned, unsigned>()
;
// MPS
ems::class_<MPS<dtype>>("MPS");
ems::function("initMpsSpinUp", &initMPS_spinUp<dtype>);
ems::function("initMpsSpinRight", &initMPS_spinRight<dtype>);
ems::function("initMpsNParticles", &initMPS_nParticles<dtype>);
// ems::function("initMPS_spinUp", &initMPS_spinUp);
ems::register_vector<double>("stdVectorDouble");
ems::register_vector<std::vector<double>>("stdVectorDouble2D");
// ems::class_<Results>("TEBDResults")
// .property("M", &Results::M)
// .property("E", &Results::E)
// .property("S", &Results::S)
// ;
// TEBD
ems::enum_<TEBD_TYPE>("TEBD_TYPE")
.value("BRICKWALL", TEBD_TYPE::BRICKWALL)
.value("SECOND_ORDER", TEBD_TYPE::SECOND_ORDER)
;
ems::function("runTebdTfi", &runTEBD<TfiModel>);
ems::function("runTebdPhaseDiagramTfi", &runTEBD_phaseDiagram<TfiModel, unsigned, Range<double>, Range<double>>);
ems::function("runTebdBh", &runTEBD<BhModel>);
ems::function("runTebdPhaseDiagramBh", &runTEBD_phaseDiagram<BhModel, unsigned, double, Range<double>, Range<double>, unsigned>);
// DMRG
ems::function("runDmrgTfi", &runDMRG<TfiModel>);
ems::function("runDmrgPhaseDiagramTfi", &runDMRG_phaseDiagram<TfiModel, unsigned, Range<double>, Range<double>>);
ems::function("runDmrgBh", &runDMRG<BhModel>);
ems::function("runDmrgPhaseDiagramBh", &runDMRG_phaseDiagram<BhModel, unsigned, double, Range<double>, Range<double>, unsigned>);
// OTHER
ems::function("test", &test);
ems::function("getBuildOptions", &getBuildOptions);
ems::function("testPerformance", &testPerformance);
};
#endif

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#include <memory>
#include <print>
#include "wasm/result.hpp"
#include "algorithms/tebd.hpp"
#include "algorithms/dmrg.hpp"
#include "util.hpp"
#include "type.hpp"
#include "wasm/emscripten.hpp"
#include "wasm/range.hpp"
// template<typename Arg>
// void printArgs(Arg&& val) {
// std::cout << val << std::endl;
// }
// template<typename Arg, typename... Args>
// void printArgs(Arg&& val, Args&&... values) {
// std::cout << val << ", ";
// printArgs(std::forward<Args>(values)...);
// }
// template<typename... Args>
// void processDebug(Args&&... args) {
// std::tuple<typename transform_type<Args>::type...> results = std::make_tuple(processType(std::forward<Args>(args))...);
// std::apply([](auto&&... args){ printArgs(args...); }, results);
// }
/**
*/
// EMSCRIPTEN_BINDINGS(my_class_example) {
// class_<MyClass>("MyClass")
// .constructor<int, std::string>()
// .function("incrementX", &MyClass::incrementX)
// .property("x", &MyClass::getX, &MyClass::setX)
// .property("x_readonly", &MyClass::getX)
// .class_function("getStringFromInstance", &MyClass::getStringFromInstance)
// ;
// };
/**
* @brief Return a string that was set at compilation using the BUILD_OPTIONS_STRING variable
*/
std::string getBuildOptions();
enum class TEBD_TYPE {
BRICKWALL = 0,
SECOND_ORDER = 1,
};
// EMSCRIPTEN_BINDINGS(tebd_module) {
// enum_<TEBD_TYPE>(TEBD_BRICKWALL)
// .value("TEBD_BRICKWALL", TEBD_BRICKWALL)
// ;
// class<MPS<dtype>>("MPS")
// .constructor<unsigned>()
// .function("getL", &MPS<dtype>::getL)
// .function("getN", &MPS<dtype>::getN)
// .function("getN_real",
// };
// TEBD
template<typename Model>
void runTEBD(MPS<dtype>& psi, const std::shared_ptr<Model> model, unsigned nSteps, double dtReal, double dtImag, double _eps, unsigned chiMax, TEBD_TYPE type, Results<Model>& result) {
dtype eps(_eps);
dtype dt(dtReal, dtImag);
// sanity checks
throwIfNaN(eps, "eps");
throwIfNaN(dt, "dt");
throwIfLessThan(nSteps, 1u, "nSteps");
throwIfLessThan(chiMax, 1u, "chiMax");
if (psi.getL() != model->L) {
throw std::runtime_error("psi and model have different L");
}
std::println("Running TEBD type={}, nSteps={}, dt={}, eps={}, chiMax={}", static_cast<int>(type), nSteps, dt, eps, chiMax);
auto F = result.getPostUpdateFunction(model);
// initial values now
F(psi, 0);
const Bonds<dtype> bonds = tebd::getTimeEvolutionMatrices(model->getH_BondsMatrices(), dt, model->localDim);
if (type == TEBD_TYPE::BRICKWALL) {
tebd::runBrickwall(psi, bonds, chiMax, eps, nSteps, F);
} else if (type == TEBD_TYPE::SECOND_ORDER) {
const Bonds<dtype> bondsHalf = tebd::getTimeEvolutionMatrices(model->getH_BondsMatrices(), dt/2., model->localDim);
tebd::runSecondOrder(psi, bonds, bondsHalf, chiMax, eps, nSteps, F);
} else {
throw std::invalid_argument(std::format("Got invalid TEBD_TYPE: {}", static_cast<int>(type)));
}
std::println("Chis: {}", psi.getChi());
std::println("Collapse: {}", psi.collapse(0));
};
template<typename Model, typename... ModelArgs>
void runTEBD_phaseDiagram(const MPS<dtype>& psiI, unsigned nSteps, double dtReal, double dtImag, double _eps, unsigned chiMax, TEBD_TYPE type, unsigned nValues, Results<Model>& result, ModelArgs&&... args) {
dtype eps(_eps);
dtype dt(dtReal, dtImag);
// sanity checks
throwIfNaN(eps, "eps");
throwIfNaN(dt, "dt");
throwIfLessThan(nSteps, 2u, "nSteps");
throwIfLessThan(chiMax, 1u, "chiMax");
std::println("Running TEBD type={}, nSteps={}, dt={}, eps={}, chiMax={}", static_cast<int>(type), nSteps, dt, eps, chiMax);
postUpdateFunction_t<dtype> F = [](const MPS<dtype>&, unsigned) {
emscripten_sleep(0);
return false;
};
for (unsigned i = 0; i < nValues; i++) {
std::shared_ptr<Model> model = makeModel<Model>(std::forward<ModelArgs>(args)...);
std::println("{:02} - Model: {}", i, *model);
MPS<dtype> psi(psiI);
std::println("New psi: value at B[2](0, 1, 0)={}", psi.B(2)(0, 1, 0));
const Bonds<dtype> bonds = tebd::getTimeEvolutionMatrices(model->getH_BondsMatrices(), dt, model->localDim);
tebd::runBrickwall(psi, bonds, chiMax, eps, nSteps, F);
result.postUpdateFunction(model, psi);
}
}
// DMRG
template<typename Model>
void runDMRG(MPS<dtype>& psi, const std::shared_ptr<Model> model, unsigned nSweeps, double _eps, unsigned chiMax, Results<Model>& result) {
dtype eps(_eps);
// sanity checks
throwIfNaN(eps, "eps");
throwIfLessThan(nSweeps, 1u, "nSweeps");
throwIfLessThan(chiMax, 1u, "chiMax");
if (psi.getL() != model->L) {
throw std::runtime_error("psi and model have different L");
}
std::println("Running DMRG nSweeps={}, eps={}, chiMax={}", nSweeps, eps, chiMax);
auto F = result.getPostUpdateFunction(model);
// initial values now
F(psi, 0);
dmrg::run(psi, model->getH_MPO(), chiMax, eps, nSweeps, F);
std::println("Chis: {}", psi.getChi());
std::println("Collapse: {}", psi.collapse(0));
};
template<typename Model, typename... ModelArgs>
void runDMRG_phaseDiagram(const MPS<dtype>& psiI, unsigned nSweeps, double _eps, unsigned chiMax, unsigned nValues, Results<Model>& result, ModelArgs&&... args) {
dtype eps(_eps);
// sanity checks
throwIfNaN(eps, "eps");
throwIfLessThan(nSweeps, 1u, "nSweeps");
throwIfLessThan(chiMax, 1u, "chiMax");
std::println("Running DMRG nSweeps={}, eps={}, chiMax={}", nSweeps, eps, chiMax);
postUpdateFunction_t<dtype> F = [](const MPS<dtype>&, unsigned) {
emscripten_sleep(0);
return false;
};
for (unsigned i = 0; i < nValues; i++) {
std::shared_ptr<Model> model = makeModel<Model>(std::forward<ModelArgs>(args)...);
std::println("{:02} - Model: {}", i, *model);
MPS<dtype> psi(psiI);
dmrg::run(psi, model->getH_MPO(), chiMax, eps, nSweeps, F);
result.postUpdateFunction(model, psi);
}
}

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