3 papers
physics.comp-ph2026
Refined Gradient-Based Temperature Optimization for the Replica-Exchange Monte-Carlo Method
Tatsuya Miyata, Shunta Arai, Satoshi Takabe
The replica-exchange Monte-Carlo (RXMC) method is a powerful Markov-chain Monte-Carlo algorithm for sampling from multi-modal distributions, which are challenging for conventional…
quant-ph2025
Quantum Annealing Enhanced Markov-Chain Monte Carlo
Shunta Arai, Tadashi Kadowaki
In this study, we propose quantum annealing-enhanced Markov Chain Monte Carlo (QAEMCMC), where QA is integrated into the MCMC subroutine. QA efficiently explores low-energy configu…
quant-ph2025
Transfer Learning for Deep-Unfolded Combinatorial Optimization Solver with Quantum Annealer
Ryo Hagiwara, Shunta Arai, Satoshi Takabe
Quantum annealing (QA) has attracted research interest as a sampler and combinatorial optimization problem (COP) solver. A recently proposed sampling-based solver for QA significan…