Generative and discriminative training of Boltzmann machine through Quantum annealing. (arXiv:2002.00792v3 [quant-ph] UPDATED)

A hybrid quantum-classical method for learning Boltzmann machines (BM) for a
generative and discriminative task is presented. Boltzmann machines are
undirected graphs with a network of visible and hidden nodes where the former
is used as the reading site while the latter is used to manipulate visible
states' probability. In Generative BM, the samples of visible data imitate the
probability distribution of a given data set. In contrast, the visible sites of
discriminative BM are treated as Input/Output (I/O) reading …

arxiv boltzmann machine quantum training