Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models
Marcello Benedetti, John Realpe-Gómez, Rupak Biswas, Alejandro Perdomo-Ortiz · Physical Review X · 2017
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.