Tensor Network Loop Cluster Expansions for Quantum Many-Body Problems

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Gray, Johnnie, Park, Gunhee, Evenbly, Glen, Pancotti, Nicola, Kjønstad, Eirik F., Chan, Garnet Kin-Lic
Format: Preprint
Publié: 2025
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866917435581399040
author Gray, Johnnie
Park, Gunhee
Evenbly, Glen
Pancotti, Nicola
Kjønstad, Eirik F.
Chan, Garnet Kin-Lic
author_facet Gray, Johnnie
Park, Gunhee
Evenbly, Glen
Pancotti, Nicola
Kjønstad, Eirik F.
Chan, Garnet Kin-Lic
contents We analyze the tensor network loop cluster expansion, introduced in [G. Park, J. Gray, and G. K.-L. Chan, Phys. Rev. B 112, 174310 (2025)] as a systematic correction to belief propagation, in the context of general quantum many-body problems. We provide numerical examples of the accuracy and practical applicability of the approach for the computation of ground-state observables for high bond dimension tensor networks, in two- and three-dimensions, with open and periodic boundary conditions, and for spin and fermion problems. We find that the contraction error converges approximately exponentially with cluster size, enabling accurate local observable and energy estimates for many systems where standard contraction methods are otherwise impractical.
format Preprint
id arxiv_https___arxiv_org_abs_2510_05647
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Tensor Network Loop Cluster Expansions for Quantum Many-Body Problems
Gray, Johnnie
Park, Gunhee
Evenbly, Glen
Pancotti, Nicola
Kjønstad, Eirik F.
Chan, Garnet Kin-Lic
Quantum Physics
We analyze the tensor network loop cluster expansion, introduced in [G. Park, J. Gray, and G. K.-L. Chan, Phys. Rev. B 112, 174310 (2025)] as a systematic correction to belief propagation, in the context of general quantum many-body problems. We provide numerical examples of the accuracy and practical applicability of the approach for the computation of ground-state observables for high bond dimension tensor networks, in two- and three-dimensions, with open and periodic boundary conditions, and for spin and fermion problems. We find that the contraction error converges approximately exponentially with cluster size, enabling accurate local observable and energy estimates for many systems where standard contraction methods are otherwise impractical.
title Tensor Network Loop Cluster Expansions for Quantum Many-Body Problems
topic Quantum Physics
url https://arxiv.org/abs/2510.05647