Marcello Benedetti, John Realpe-Gómez, Rupak Biswas, Alejandro Perdomo-Ortiz

Published:

Author(s): Marcello Benedetti, John Realpe-Gómez, Rupak Biswas, and Alejandro Perdomo-Ortiz Quantum computing could greatly speed up machine learning techniques that rely on sampling complex probability distributions, but limitations prevent demonstrations of feasibility. A new technique implemented on a quantum annealer surpasses these limitations and shows how quantum computing can assist in machine learning tasks. [Phys. Rev. X 7, 041052] Published Thu Nov 30, 2017