Quantum computer-aided design: digital quantum simulation of quantum processors

ORAL

Abstract

With the increasing size of quantum processors, the sub-modules that constitute the processor will become too large to accurately simulate on a classical computer. Therefore, one would soon have to fabricate and test each new design primitive and parameter choice in time-consuming coordination between design, fabrication, and experimental validation. To circumvent this slow-down, we address the question of how one can design and test the performance of the sub-modules of next-generation quantum devices--by using existing quantum computers. We show how the energy spectra of transmons can be obtained by variational hybrid quantum-classical algorithms that are well-suited for near-term noisy quantum computers. We also numerically demonstrate how single-and two-qubit gates can be realized via Suzuki-Trotter decomposition for digital quantum simulation. Our methods pave a new way towards designing candidate quantum processors when the demands of calculating sub-module properties exceed the capabilities of classical computing resources.

*Intel Research, Dr. Anders G. Frøseth, Vannevar Bush Faculty Fellowship ONR N00014-16-1-2008, Canada 150 Research Chairs, Canada Industrial Research Chair, Google Focused Award, and U.S. Department of Energy DESC0019374 and DE-FG02-97ER25308.

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Presenters

  • Thi Ha Kyaw

    • Univ of Toronto
    • Department of Computer Science and Chemistry, University of Toronto

Authors

  • Thi Ha Kyaw

    • Univ of Toronto
    • Department of Computer Science and Chemistry, University of Toronto

  • Tim Menke

    • Harvard Department of Physics, MIT Research Laboratory of Electronics, MIT Department of Physics
    • MIT Research Laboratory of Electronics, MIT Department of Physics, Harvard Department of Physics
    • Department of Physics, Massachusetts Institute of Technology
    • Research Laboratory of Electronics, Massachusetts Institute of Technology

  • Sukin Sim

    • Department of Chemistry and Chemical Biology, Harvard University

  • Nicolas Sawaya

    • Intel Corporation - Hillsboro
    • Intel Labs
    • Intel Corp - Santa Clara

  • William Oliver

    • MIT Lincoln Laboratory
    • Research Laboratory of Electronics, Massachusetts Institute of Technology
    • Research Laboratory of Electronics, MIT Lincoln Laboratory, Department of Electrical Engineering and Computer Science
    • MIT Research Laboratory of Electronics, MIT Lincoln Laboratory, MIT Department of Electrical Engineering and Computer Science
    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology
    • Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
    • Research Laboratory of Electronics, Massachusetts Institute of Technology, MIT Lincoln Laboratory
    • MIT
    • MIT, MIT Lincoln Lab
    • MIT Lincoln Lab
    • MIT Lincoln Lab, Massachusetts Institute of Technology
    • Research Laboratory of Electronics, Department of Electrical Engineering and Computer Science, and Department of Physics, Massachusetts Institute of Technology. MIT Lincoln L
    • Department of Physics, Department of Electrical Engineering & Computer Science, Research Laboratory of Electronics, MIT Lincoln Laboratory, Massachusetts Institute of Technol
    • Lincoln Laboratory, Research Laboratory of Electronics, and Department of Electrical Engineering & Computer Science, MIT

  • Gian Giacomo Guerreschi

    • Intel Labs
    • Intel Corp - Santa Clara

  • Alan Aspuru-Guzik

    • Univ of Toronto
    • Chemistry/Computer Science, University of Toronto
    • Department of Computer Science and Chemistry, University of Toronto