Error Mitigation Via Emulated Measurement of Stabilizers

ORAL

Abstract

Error mitigation techniques are critical for quantum information processing in the era of Noisy Intermediate-Scale Quantum technology. Strategies for mitigating coherent errors are of particular interest, since infidelity grows linearly with incoherent errors but can grow quadratically with coherent errors. Randomized compiling has been gaining traction as a technique that mitigates coherent errors by rendering them incoherent. In this work, we discuss an alternative error mitigation technique called Quantum Measurement Emulation (QME) which addresses coherent errors in logical qubits by emulating the measurement of stabilizer operators via stochastic gate application. We show how QME leads to a first-order insensitivity to coherent errors and describe how it compares to randomized compiling.  

*This research was funded in part by the ARO grant No. W911NF-18-1-0411; and was funded in part by the Under Secretary of Defense for Research and Engineering under Air Force Contract No. FA8702-15-D-0001; and was funded in part by a Google Fellowship in Quantum Computing. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the U.S. Government.

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Publication: Error mitigation via stabilizer measurement emulation. A. Greene et al. arxiv:2102.05767

Presenters

  • Amy Greene

    • Massachusetts Institute of Technology MI
    • Massachusetts Institute of Technology MIT

Authors

  • Amy Greene

    • Massachusetts Institute of Technology MI
    • Massachusetts Institute of Technology MIT

  • Morten Kjaergaard

    • Center for Quantum Devices, Niels Bohr Institute, University of Copenhagen, Copenhagen Denmark.
    • University of Copenhagen

  • Gabriel O Samach

    • Massachusetts Institute of Technology MIT
    • MIT

  • Mollie E Schwartz

    • MIT Lincoln Laboratory
    • MIT Lincoln Lab

  • Andreas Bengtsson

    • Google LLC
    • Google

  • Michael F O'Keeffe

    • MIT Lincoln Lab

  • Milad Marvian Mashhad

    • Massachusetts Institute of Technology MIT

  • David K Kim

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory

  • Alexander Melville

    • MIT Lincoln Laboratory
    • MIT Lincoln Lab

  • Bethany M Niedzielski

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory

  • Antti Vepsalainen

    • Massachusetts Institute of Technology MIT

  • Roni Winik

    • Massachusetts Institute of Technology MIT

  • Jonilyn L Yoder

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory

  • Danna Rosenberg

    • Massachusetts Institute of Technology MIT

  • Seth Lloyd

    • Massachusetts Institute of Technology MIT
    • MIT

  • Terry P Orlando

    • Massachusetts Institute of Technology MIT

  • Simon Gustavsson

    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology

  • William D Oliver

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