SpinGlassPEPS.jl: Tensor-network package for Ising-like optimization on quasi-two-dimensional graphs

Fuente: arXiv
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Autores principales: Śmierzchalski, Tomasz, Dziubyna, Anna M., Jałowiecki, Konrad, Mzaouali, Zakaria, Pawela, Łukasz, Gardas, Bartłomiej, Rams, Marek M.
Formato: Preprint
Publicado: 2025
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author Śmierzchalski, Tomasz
Dziubyna, Anna M.
Jałowiecki, Konrad
Mzaouali, Zakaria
Pawela, Łukasz
Gardas, Bartłomiej
Rams, Marek M.
author_facet Śmierzchalski, Tomasz
Dziubyna, Anna M.
Jałowiecki, Konrad
Mzaouali, Zakaria
Pawela, Łukasz
Gardas, Bartłomiej
Rams, Marek M.
contents This work introduces SpinGlassPEPS$.$jl, a software package implemented in Julia, designed to find low-energy configurations of generalized Potts models, including Ising and QUBO problems, utilizing heuristic tensor network contraction algorithms on quasi-2D geometries. In particular, the package employs the Projected Entangled-Pairs States to approximate the Boltzmann distribution corresponding to the model's cost function. This enables an efficient branch-and-bound search (within the probability space) that exploits the locality of the underlying problem's topology. As a result, our software enables the discovery of low-energy configurations for problems on quasi-2D graphs, particularly those relevant to modern quantum annealing devices. The modular architecture of SpinGlassPEPS$.$jl supports various contraction schemes and hardware acceleration.
format Preprint
id arxiv_https___arxiv_org_abs_2502_02317
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle SpinGlassPEPS.jl: Tensor-network package for Ising-like optimization on quasi-two-dimensional graphs
Śmierzchalski, Tomasz
Dziubyna, Anna M.
Jałowiecki, Konrad
Mzaouali, Zakaria
Pawela, Łukasz
Gardas, Bartłomiej
Rams, Marek M.
Quantum Physics
Software Engineering
This work introduces SpinGlassPEPS$.$jl, a software package implemented in Julia, designed to find low-energy configurations of generalized Potts models, including Ising and QUBO problems, utilizing heuristic tensor network contraction algorithms on quasi-2D geometries. In particular, the package employs the Projected Entangled-Pairs States to approximate the Boltzmann distribution corresponding to the model's cost function. This enables an efficient branch-and-bound search (within the probability space) that exploits the locality of the underlying problem's topology. As a result, our software enables the discovery of low-energy configurations for problems on quasi-2D graphs, particularly those relevant to modern quantum annealing devices. The modular architecture of SpinGlassPEPS$.$jl supports various contraction schemes and hardware acceleration.
title SpinGlassPEPS.jl: Tensor-network package for Ising-like optimization on quasi-two-dimensional graphs
topic Quantum Physics
Software Engineering
url https://arxiv.org/abs/2502.02317