Finite-size scaling on the torus with periodic projected entangled-pair states

Fuente: arXiv
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Autores principales: Fedorovich, Gleb, Devos, Lukas, Haegeman, Jutho, Vanderstraeten, Laurens, Verstraete, Frank, Ueda, Atsushi
Formato: Preprint
Publicado: 2024
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author Fedorovich, Gleb
Devos, Lukas
Haegeman, Jutho
Vanderstraeten, Laurens
Verstraete, Frank
Ueda, Atsushi
author_facet Fedorovich, Gleb
Devos, Lukas
Haegeman, Jutho
Vanderstraeten, Laurens
Verstraete, Frank
Ueda, Atsushi
contents An efficient algorithm is constructed for contracting two-dimensional tensor networks under periodic boundary conditions. The central ingredient is a novel renormalization step that scales linearly with system size, i.e. from $L \to L+1$. The numerical accuracy is comparable to state-of-the-art tensor network methods, while giving access to much more data points, and at a lower computational cost. Combining this contraction routine with the use of automatic differentiation, we arrive at an efficient algorithm for optimizing fully translation invariant projected entangled-pair states on the torus. Our benchmarks show that this method yields finite-size energy results that are comparable to those from quantum Monte Carlo simulations. When combined with field-theoretical scaling techniques, our approach enables accurate estimates of critical properties for two-dimensional quantum lattice systems.
format Preprint
id arxiv_https___arxiv_org_abs_2411_12731
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Finite-size scaling on the torus with periodic projected entangled-pair states
Fedorovich, Gleb
Devos, Lukas
Haegeman, Jutho
Vanderstraeten, Laurens
Verstraete, Frank
Ueda, Atsushi
Strongly Correlated Electrons
An efficient algorithm is constructed for contracting two-dimensional tensor networks under periodic boundary conditions. The central ingredient is a novel renormalization step that scales linearly with system size, i.e. from $L \to L+1$. The numerical accuracy is comparable to state-of-the-art tensor network methods, while giving access to much more data points, and at a lower computational cost. Combining this contraction routine with the use of automatic differentiation, we arrive at an efficient algorithm for optimizing fully translation invariant projected entangled-pair states on the torus. Our benchmarks show that this method yields finite-size energy results that are comparable to those from quantum Monte Carlo simulations. When combined with field-theoretical scaling techniques, our approach enables accurate estimates of critical properties for two-dimensional quantum lattice systems.
title Finite-size scaling on the torus with periodic projected entangled-pair states
topic Strongly Correlated Electrons
url https://arxiv.org/abs/2411.12731