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Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

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

Indexed on: 27 Feb '18Published on: 30 Nov '17Published in: Physical review. X



Abstract

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