2023/09/06 by K. Murashima, Murashima, Kiyotaka
Engineering · Materials Science · #Electron and X-Ray Spectroscopy Techniques #FOS: Physical sciences #Machine Learning in Materials Science #Quantum Physics (quant-ph) #Semiconductor materials and devices
paper · pdf · doi:10.48550/arxiv.2309.02735
openalex publication_date 2023/09/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.