• Open Access

Reverse annealing for the fully connected p-spin model

Masaki Ohkuwa, Hidetoshi Nishimori, and Daniel A. Lidar
Phys. Rev. A 98, 022314 – Published 13 August 2018

Abstract

Reverse annealing is a variant of quantum annealing that starts from a given classical configuration of spins (qubits). In contrast to the conventional formulation, where one starts from a uniform superposition of all possible states (classical configurations), quantum fluctuations are first increased and only then decreased. One then reads out the state as a proposed solution to the given combinatorial optimization problem. We formulate a mean-field theory of reverse annealing using the fully connected ferromagnetic p-spin model, with and without random longitudinal fields, and analyze it in order to understand how and when reverse annealing is effective at solving this problem. We find that the difficulty arising from the existence of a first-order quantum phase transition, which leads to an exponentially long computation time in conventional quantum annealing, is circumvented in the context of this particular problem by reverse annealing if the proximity of the initial state to the (known) solution exceeds a threshold. Even when a first-order transition is unavoidable, the difficulty is mitigated due to a smaller jump in the order parameter at a first-order transition, which implies a larger rate of quantum tunneling. Reverse annealing has not been studied analytically before, and this study paves the way toward a systematic understanding of this relatively unexplored protocol in a broader context.

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  • Received 19 June 2018

DOI:https://doi.org/10.1103/PhysRevA.98.022314

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal "citation, and DOI.

©2018 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Masaki Ohkuwa* and Hidetoshi Nishimori

  • Department of Physics, Tokyo Institute of Technology, Oh-okayama, Meguro-ku, Tokyo 152-5551, Japan

Daniel A. Lidar

  • Departments of Electrical Engineering, Chemistry, and Physics & Astronomy, University of Southern California, Los Angeles, California 90089, USA and Center for Quantum Information Science & Technology, University of Southern California, Los Angeles, California 90089, USA

  • *ookuwa.m@stat.phys.titech.ac.jp

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Issue

Vol. 98, Iss. 2 — August 2018

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