Physical Review Research (May 2025)

Fermionic tensor network contraction for arbitrary geometries

  • Yang Gao,
  • Huanchen Zhai,
  • Johnnie Gray,
  • Ruojing Peng,
  • Gunhee Park,
  • Wen-Yuan Liu,
  • Eirik F. Kjønstad,
  • Garnet Kin-Lic Chan

DOI
https://doi.org/10.1103/PhysRevResearch.7.023193
Journal volume & issue
Vol. 7, no. 2
p. 023193

Abstract

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We describe our implementation of fermionic tensor network contraction on arbitrary lattices within both a globally ordered and a 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 state simulations of finite Hubbard models defined on the three-dimensional diamond lattice and random regular graphs.