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
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Joonhee Choi
Caltech
Authors
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Joonhee Choi
Caltech
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Adam L Shaw
Caltech
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Ivaylo S Madjarov
Caltech
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Xin Xie
University of Colorado, Boulder
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Ran Finkelstein
Weizmann Institute of Science, Caltech
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Jacob Covey
University of Illinois at Chicago, UIUC
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Jordan Cotler
Harvard University
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Daniel Mark
Center for Theoretical Physics, MIT, MIT, Massachusetts Institute of Technology
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Hsin-Yuan Huang
Caltech
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Anant Kale
Harvard University
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Hannes Pichler
Caltech, Innsbruck, University of Innsbruck; Austrian Academy of Sciences, University of Innsbruck, IQOQI
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Fernando Brandao
Caltech
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Soonwon Choi
Center for Theoretical Physics, MIT, University of California, Berkeley, Massachusetts Institute of Technology
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Manuel Endres
Caltech