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Quantum Optimization Quantum Simulation

Fast Simulated Annealing inspired by Quantum Monte Carlo

arXiv
Authors: Kiyotaka Murashima

Year

2023

Paper ID

55137

Status

Preprint

Abstract Read

~2 min

Abstract Words

79

Citations

N/A

Abstract

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.

Why This Paper Matters

  • This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
  • It adds a 2023 reference point for readers tracking recent quantum research.
  • 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...

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