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Universal random statistics in quantum many-body systems and their applications

POSTER

Abstract



Here we find universal random statistics emerging from both temporal evolution and projective measurement, and study their applications. We experimentally uncover the signatures of these statistics with a Rydberg atom-array quantum simulator, revealing the emergence of the so-called Porter-Thomas distribution, a phenomenon which we find is universal across a wide variety of quantum computers and simulators. The presence of these statistics then allows further developments of recent protocols for quantum device benchmarking, with interesting applications for in situ Hamiltonian learning and closed-loop optimization of state preparation control, which we demonstrate. We then showcase benchmarking of a 33 qubit system, highlight possibilities for scaling this protocol to hundreds of qubits, and discuss prospects for realizing quantum advantage with near-term quantum simulators.

Publication: arXiv:2103.03535, arXiv:2103.03536

Presenters

  • Joonhee Choi

    Caltech

Authors

  • Joonhee Choi

    Caltech

  • Adam L Shaw

    Caltech

  • Ivaylo S Madjarov

    Caltech

  • Xin Xie

    University of Colorado, Boulder

  • Ran Finkelstein

    Weizmann Institute of Science, Caltech

  • Jacob Covey

    University of Illinois at Chicago, UIUC

  • Jordan Cotler

    Harvard University

  • Daniel Mark

    Center for Theoretical Physics, MIT, MIT, Massachusetts Institute of Technology

  • Hsin-Yuan Huang

    Caltech

  • Anant Kale

    Harvard University

  • Hannes Pichler

    Caltech, Innsbruck, University of Innsbruck; Austrian Academy of Sciences, University of Innsbruck, IQOQI

  • Fernando Brandao

    Caltech

  • Soonwon Choi

    Center for Theoretical Physics, MIT, University of California, Berkeley, Massachusetts Institute of Technology

  • Manuel Endres

    Caltech