2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/173923Importance sampling and Metropolis-Hastings sampling (of which Gibbs sampling is a special case) are two methods commonly used to sample multi-variate probability distributions (that is, Bayesian networks). Heretofore, the sampling of Bayesian networks has been done on a conventional "classical computer". In this paper, we propose methods for doing importance sampling and Metropolis-Hastings sampling of a classical Bayesian network on a quantum computer.41 pages (files: 1.tex, 3.sty, 8.eps)Quantum Physicstext