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Digitized adiabatic quantum computing with a superconducting circuit

Author

Listed:
  • R. Barends

    (Google Inc.)

  • A. Shabani

    (Google Inc.)

  • L. Lamata

    (University of the Basque Country UPV/EHU)

  • J. Kelly

    (Google Inc.)

  • A. Mezzacapo

    (University of the Basque Country UPV/EHU
    †Present address: IBM T. J. Watson Research Center, Yorktown Heights, New York 10598, USA.)

  • U. Las Heras

    (University of the Basque Country UPV/EHU)

  • R. Babbush

    (Google Inc.)

  • A. G. Fowler

    (Google Inc.)

  • B. Campbell

    (University of California)

  • Yu Chen

    (Google Inc.)

  • Z. Chen

    (University of California)

  • B. Chiaro

    (University of California)

  • A. Dunsworth

    (University of California)

  • E. Jeffrey

    (Google Inc.)

  • E. Lucero

    (Google Inc.)

  • A. Megrant

    (University of California)

  • J. Y. Mutus

    (Google Inc.)

  • M. Neeley

    (Google Inc.)

  • C. Neill

    (University of California)

  • P. J. J. O’Malley

    (University of California)

  • C. Quintana

    (University of California)

  • P. Roushan

    (Google Inc.)

  • D. Sank

    (Google Inc.)

  • A. Vainsencher

    (University of California)

  • J. Wenner

    (University of California)

  • T. C. White

    (University of California)

  • E. Solano

    (University of the Basque Country UPV/EHU
    IKERBASQUE, Basque Foundation for Science)

  • H. Neven

    (Google Inc.)

  • John M. Martinis

    (Google Inc.
    University of California)

Abstract

A digitized approach to adiabatic quantum computing, combining the generality of the adiabatic algorithm with the universality of the digital method, is implemented using a superconducting circuit to find the ground states of arbitrary Hamiltonians.

Suggested Citation

  • R. Barends & A. Shabani & L. Lamata & J. Kelly & A. Mezzacapo & U. Las Heras & R. Babbush & A. G. Fowler & B. Campbell & Yu Chen & Z. Chen & B. Chiaro & A. Dunsworth & E. Jeffrey & E. Lucero & A. Megr, 2016. "Digitized adiabatic quantum computing with a superconducting circuit," Nature, Nature, vol. 534(7606), pages 222-226, June.
    • Handle: RePEc:nat:nature:v:534:y:2016:i:7606:d:10.1038_nature17658
    DOI: 10.1038/nature17658
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    Cited by:

    1. Laura Lewis & Hsin-Yuan Huang & Viet T. Tran & Sebastian Lehner & Richard Kueng & John Preskill, 2024. "Improved machine learning algorithm for predicting ground state properties," Nature Communications, Nature, vol. 15(1), pages 1-8, December.

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