Best-case performance of quantum annealers on native spin-glass benchmarks: How chaos can affect success probabilities

Zheng Zhu, Andrew J. Ochoa, Stefan Schnabel, Firas Hamze, and Helmut G. Katzgraber
Phys. Rev. A 93, 012317 – Published 11 January 2016

Abstract

Recent tests performed on the D-Wave Two quantum annealer have revealed no clear evidence of speedup over conventional silicon-based technologies. Here we present results from classical parallel-tempering Monte Carlo simulations combined with isoenergetic cluster moves of the archetypal benchmark problem—an Ising spin glass—on the native chip topology. Using realistic uncorrelated noise models for the D-Wave Two quantum annealer, we study the best-case resilience, i.e., the probability that the ground-state configuration is not affected by random fields and random-bond fluctuations found on the chip. We thus compute classical upper-bound success probabilities for different types of disorder used in the benchmarks and predict that an increase in the number of qubits will require either error correction schemes or a drastic reduction of the intrinsic noise found in these devices. We restrict this study to the exact ground state, however, the approach can be trivially extended to the inclusion of excited states if the success metric is relaxed. We outline strategies to develop robust, as well as hard benchmarks for quantum annealing devices, as well as any other (black box) computing paradigm affected by noise.

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  • Received 9 May 2015

DOI:https://doi.org/10.1103/PhysRevA.93.012317

©2016 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Zheng Zhu1, Andrew J. Ochoa1, Stefan Schnabel2, Firas Hamze3, and Helmut G. Katzgraber1,4,5

  • 1Department of Physics and Astronomy, Texas A&M University, College Station, Texas 77843-4242, USA
  • 2Institut für Theoretische Physik and Centre for Theoretical Sciences (NTZ), Universität Leipzig, Postfach 100920, D-04009 Leipzig, Germany
  • 3D-Wave Systems, Inc., 3033 Beta Avenue, Burnaby, British Columbia, Canada V5G 4M9
  • 4Materials Science and Engineering Program, Texas A&M University, College Station, Texas 77843, USA
  • 5Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, New Mexico 87501, USA

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Issue

Vol. 93, Iss. 1 — January 2016

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