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Bibliographic Details
Main Authors: Barash, Lev, Babakhani, Arman, Hen, Itay
Format: Preprint
Published: 2023
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Online Access:https://arxiv.org/abs/2307.06503
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author Barash, Lev
Babakhani, Arman
Hen, Itay
author_facet Barash, Lev
Babakhani, Arman
Hen, Itay
contents We present a universal parameter-free quantum Monte Carlo (QMC) algorithm designed to simulate arbitrary spin-$1/2$ Hamiltonians. To ensure the convergence of the Markov chain to equilibrium for every conceivable case, we devise a clear and simple automated protocol that produces QMC updates that are provably ergodic and satisfy detailed balance. We demonstrate the applicability and versatility of our method by considering several illustrative examples, including the simulation of the XY model on a triangular lattice, the toric code, and random $k$-local Hamiltonians. We have made our program code freely accessible on GitHub.
format Preprint
id arxiv_https___arxiv_org_abs_2307_06503
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A quantum Monte Carlo algorithm for arbitrary spin-1/2 Hamiltonians
Barash, Lev
Babakhani, Arman
Hen, Itay
Computational Physics
Other Condensed Matter
Quantum Physics
We present a universal parameter-free quantum Monte Carlo (QMC) algorithm designed to simulate arbitrary spin-$1/2$ Hamiltonians. To ensure the convergence of the Markov chain to equilibrium for every conceivable case, we devise a clear and simple automated protocol that produces QMC updates that are provably ergodic and satisfy detailed balance. We demonstrate the applicability and versatility of our method by considering several illustrative examples, including the simulation of the XY model on a triangular lattice, the toric code, and random $k$-local Hamiltonians. We have made our program code freely accessible on GitHub.
title A quantum Monte Carlo algorithm for arbitrary spin-1/2 Hamiltonians
topic Computational Physics
Other Condensed Matter
Quantum Physics
url https://arxiv.org/abs/2307.06503