May 1, 2024, 4:46 a.m. | Yuta Tamura, Masayuki Ohzeki

stat.ML updates on arXiv.org arxiv.org

arXiv:2404.19274v1 Announce Type: cross
Abstract: In statistical mechanics, computing the partition function is generally difficult. An approximation method using a variational autoregressive network (VAN) has been proposed recently. This approach offers the advantage of directly calculating the generation probabilities while obtaining a significantly large number of samples. The present study introduces a novel approximation method that employs samples derived from quantum annealing machines in conjunction with VAN, which are empirically assumed to adhere to the Gibbs-Boltzmann distribution. When applied to …

abstract approximation arxiv autoregressive computing cond-mat.dis-nn function network networks quantum samples statistical stat.ml study type van while

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