Investigation of Superconducting Qubit Errors from Ionizing Radiation

ORAL

Abstract

Ionizing radiation presents a source of errors for superconducting qubits. Recent studies have modeled the various causes of radiation-induced error bursts. We present measurements to detect and quantify sources of high energy impacts in superconducting qubit quantum processors. These measurements clarify the contributing effects of gamma radiation and comic ray muons to spatiotemporally correlated error bursts that challenge quantum error correction schemes. We discuss strategies to reduce the rate of these error events and promote methods to minimize the impact of these errors on superconducting qubit processors.

*This research was supported by an appointment to the Intelligence Community Postdoctoral Research Fellowship Program at MIT, administered by Oak Ridge Institute for Science and Education through an interagency agreement between the U.S. Department of Energy and the Office of the Director of National Intelligence. This research was funded by the Under Secretary of Defense for Research and Engineering under Air Force Contract No. FA8702-15-D-0001. 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 US Government.

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Presenters

  • Patrick M Harrington

    • Massachusetts Institute of Technology MI
    • Department of Electrical Engineering & Computer Science and Department of Physics, Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology

Authors

  • Patrick M Harrington

    • Massachusetts Institute of Technology MI
    • Department of Electrical Engineering & Computer Science and Department of Physics, Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology

  • Amir H Karamlou

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

  • Wouter Van De Pontseele

    • Massachusetts Institute of Technology MIT

  • Daniel Mayer

    • Massachusetts Institute of Technology MIT

  • Mingyu Li

    • Massachusetts Institute of Technology MIT

  • Kyle Serniak

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory

  • David K Kim

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory

  • Bethany M Niedzielski

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory

  • Alexander Melville

    • MIT Lincoln Laboratory
    • MIT Lincoln Lab

  • Jonilyn L Yoder

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory

  • Mollie E Schwartz

    • MIT Lincoln Laboratory
    • MIT Lincoln Lab

  • Simon Gustavsson

    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology

  • Joseph A Formaggio

    • Massachusetts Institute of Technology MIT

  • 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