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Quantum critical dynamics in a 5,000-qubit programmable spin glass

Author

Listed:
  • Andrew D. King

    (D-Wave Quantum Inc.)

  • Jack Raymond

    (D-Wave Quantum Inc.)

  • Trevor Lanting

    (D-Wave Quantum Inc.)

  • Richard Harris

    (D-Wave Quantum Inc.)

  • Alex Zucca

    (D-Wave Quantum Inc.)

  • Fabio Altomare

    (D-Wave Quantum Inc.)

  • Andrew J. Berkley

    (D-Wave Quantum Inc.)

  • Kelly Boothby

    (D-Wave Quantum Inc.)

  • Sara Ejtemaee

    (D-Wave Quantum Inc.)

  • Colin Enderud

    (D-Wave Quantum Inc.)

  • Emile Hoskinson

    (D-Wave Quantum Inc.)

  • Shuiyuan Huang

    (D-Wave Quantum Inc.)

  • Eric Ladizinsky

    (D-Wave Quantum Inc.)

  • Allison J. R. MacDonald

    (D-Wave Quantum Inc.)

  • Gaelen Marsden

    (D-Wave Quantum Inc.)

  • Reza Molavi

    (D-Wave Quantum Inc.)

  • Travis Oh

    (D-Wave Quantum Inc.)

  • Gabriel Poulin-Lamarre

    (D-Wave Quantum Inc.)

  • Mauricio Reis

    (D-Wave Quantum Inc.)

  • Chris Rich

    (D-Wave Quantum Inc.)

  • Yuki Sato

    (D-Wave Quantum Inc.)

  • Nicholas Tsai

    (D-Wave Quantum Inc.)

  • Mark Volkmann

    (D-Wave Quantum Inc.)

  • Jed D. Whittaker

    (D-Wave Quantum Inc.)

  • Jason Yao

    (D-Wave Quantum Inc.)

  • Anders W. Sandvik

    (Boston University)

  • Mohammad H. Amin

    (D-Wave Quantum Inc.
    Simon Fraser University)

Abstract

Experiments on disordered alloys1–3 suggest that spin glasses can be brought into low-energy states faster by annealing quantum fluctuations than by conventional thermal annealing. Owing to the importance of spin glasses as a paradigmatic computational testbed, reproducing this phenomenon in a programmable system has remained a central challenge in quantum optimization4–13. Here we achieve this goal by realizing quantum-critical spin-glass dynamics on thousands of qubits with a superconducting quantum annealer. We first demonstrate quantitative agreement between quantum annealing and time evolution of the Schrödinger equation in small spin glasses. We then measure dynamics in three-dimensional spin glasses on thousands of qubits, for which classical simulation of many-body quantum dynamics is intractable. We extract critical exponents that clearly distinguish quantum annealing from the slower stochastic dynamics of analogous Monte Carlo algorithms, providing both theoretical and experimental support for large-scale quantum simulation and a scaling advantage in energy optimization.

Suggested Citation

  • Andrew D. King & Jack Raymond & Trevor Lanting & Richard Harris & Alex Zucca & Fabio Altomare & Andrew J. Berkley & Kelly Boothby & Sara Ejtemaee & Colin Enderud & Emile Hoskinson & Shuiyuan Huang & E, 2023. "Quantum critical dynamics in a 5,000-qubit programmable spin glass," Nature, Nature, vol. 617(7959), pages 61-66, May.
  • Handle: RePEc:nat:nature:v:617:y:2023:i:7959:d:10.1038_s41586-023-05867-2
    DOI: 10.1038/s41586-023-05867-2
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    Cited by:

    1. Francesco Catalano & Laura Nasello & Daniel Guterding, 2024. "Quantum Computing Approach to Realistic ESG-Friendly Stock Portfolios," Risks, MDPI, vol. 12(4), pages 1-20, April.
    2. Sofia Priazhkina & Samuel Palmer & Pablo Martín-Ramiro & Román Orús & Samuel Mugel & Vladimir Skavysh, 2024. "Digital Payments in Firm Networks: Theory of Adoption and Quantum Algorithm," Staff Working Papers 24-17, Bank of Canada.

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