Fermionic tensor network contraction for arbitrary geometries

Fuente: arXiv
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Hauptverfasser: Gao, Yang, Zhai, Huanchen, Gray, Johnnie, Peng, Ruojing, Park, Gunhee, Liu, Wen-Yuan, Kjønstad, Eirik F., Chan, Garnet Kin-Lic
Format: Preprint
Veröffentlicht: 2024
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author Gao, Yang
Zhai, Huanchen
Gray, Johnnie
Peng, Ruojing
Park, Gunhee
Liu, Wen-Yuan
Kjønstad, Eirik F.
Chan, Garnet Kin-Lic
author_facet Gao, Yang
Zhai, Huanchen
Gray, Johnnie
Peng, Ruojing
Park, Gunhee
Liu, Wen-Yuan
Kjønstad, Eirik F.
Chan, Garnet Kin-Lic
contents We describe our implementation of fermionic tensor network contraction on arbitrary lattices within both a globally ordered and locally ordered formalism. We provide a pedagogical description of these two conventions as implemented for the quimb library. Using hyperoptimized approximate contraction strategies, we present benchmark fermionic projected entangled pair states simulations of finite Hubbard models defined on the three-dimensional diamond lattice and random regular graphs.
format Preprint
id arxiv_https___arxiv_org_abs_2410_02215
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Fermionic tensor network contraction for arbitrary geometries
Gao, Yang
Zhai, Huanchen
Gray, Johnnie
Peng, Ruojing
Park, Gunhee
Liu, Wen-Yuan
Kjønstad, Eirik F.
Chan, Garnet Kin-Lic
Quantum Physics
Strongly Correlated Electrons
We describe our implementation of fermionic tensor network contraction on arbitrary lattices within both a globally ordered and locally ordered formalism. We provide a pedagogical description of these two conventions as implemented for the quimb library. Using hyperoptimized approximate contraction strategies, we present benchmark fermionic projected entangled pair states simulations of finite Hubbard models defined on the three-dimensional diamond lattice and random regular graphs.
title Fermionic tensor network contraction for arbitrary geometries
topic Quantum Physics
Strongly Correlated Electrons
url https://arxiv.org/abs/2410.02215