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Main Author: Murashima, Kiyotaka
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2309.02735
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author Murashima, Kiyotaka
author_facet Murashima, Kiyotaka
contents Quantum Monte Carlo (QMC) is commonly used in simulations for Quantum Annealing (QA), but QMC as a heuristic approach has great difficulty in that it takes much time to find minimum energy. It mainly depends on the existence of a trotter layer derived from Suzuki-Trotter decomposition. In this paper, I propose a new approach to calculate it in short time, although it isn't rigorous mathematically. Its validity and advantageous points are also discussed, in comparison with conventional QMC methods.
format Preprint
id arxiv_https___arxiv_org_abs_2309_02735
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Fast Simulated Annealing inspired by Quantum Monte Carlo
Murashima, Kiyotaka
Quantum Physics
Quantum Monte Carlo (QMC) is commonly used in simulations for Quantum Annealing (QA), but QMC as a heuristic approach has great difficulty in that it takes much time to find minimum energy. It mainly depends on the existence of a trotter layer derived from Suzuki-Trotter decomposition. In this paper, I propose a new approach to calculate it in short time, although it isn't rigorous mathematically. Its validity and advantageous points are also discussed, in comparison with conventional QMC methods.
title Fast Simulated Annealing inspired by Quantum Monte Carlo
topic Quantum Physics
url https://arxiv.org/abs/2309.02735