2 papers
cs.DC2025
Acceleration of Parallel Tempering for Markov Chain Monte Carlo methods
Aingeru Ramos, Jose A Pascual, Javier Navaridas +1
Markov Chain Monte Carlo methods are algorithms used to sample probability distributions, commonly used to sample the Boltzmann distribution of physical/chemical models (e.g., prot…
quant-ph2025
On the Convergence of Markov Chain Distribution within Quantum Walk Circuit Subspace
Aingeru Ramos, Jose A. Pascual, Javier Navaridas +1
Markov Chain Monte Carlo (MCMC) methods are algorithms for sampling probability distributions, commonly applied to the Boltzmann distribution in physical and chemical models such a…