Estimation of effective temperatures in quantum annealers for sampling applications: A case study with possible applications in deep learning

Marcello Benedetti, John Realpe-Gómez, Rupak Biswas +1

An increase in the efficiency of sampling from Boltzmann distributions would have a significant impact on deep learning and other machine-learning applications. Recently, quantum a…