Tensor network loop cluster expansions for quantum many-body problems

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Authors: Johnnie Gray, Gunhee Park, Glen Evenbly, Nicola Pancotti, Eirik F. Kjønstad, Garnet Kin-Lic Chan
Cited by: 0
References: 46

Abstract

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.

Fields of Study & Subjects

Quantum many-body systems Cold Atom Physics and Bose-Einstein Condensates Quantum superfluid helium dynamics

Publication details

Journal / source
Physical review. B./Physical review. B
Publisher
American Physical Society (APS)
Volume
113
Issue
23
Publication date
21 May 2026
Language
EN