Machine Learning Assisted Superconducting Qubit Readout – Part I: From Pulse Shaping to State Discrimination

ORAL

Abstract

Qubit-state readout is a significant error source in contemporary superconducting quantum processors. The fidelity of dispersive qubit-state readout depends on the readout pulse shape and resulting phase-shifted readout signal discriminator. For a single qubit, fast and high-fidelity readout is achieved with minor changes to the rising and falling edge of a rectangular pulse, and a linear matched filter discriminator. However, in resource-efficient, frequency-multiplexed readout of multiple qubits, optimizing the readout pulse shape and discriminator becomes a computationally intensive task. Here, we experimentally demonstrate deep machine learning techniques to improve superconducting qubit readout pulse shapes and discrimination compared to conventional methods.

*This research was funded in part by the DARPA Polyplexus grant No. HR00112010001; by the U.S. Army Research Office (ARO) Multidisciplinary University Research Initiative (MURI) W911NF-18-1-0218; and by the Department of Defense via Lincoln Laboratory under Air Force Contract No. FA8721-05-C-0002. 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 DARPA or the US Government.

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Presenters

  • Benjamin Lienhard

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

Authors

  • Benjamin Lienhard

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

  • Cole Hoffer

    • Massachusetts Institute of Technology MIT

  • Antti Vepsäläinen

    • MIT Research Laboratory of Electronics
    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MIT
    • Research Laboratory of Electronics, Massachusetts Institute of Technology
    • Aalto University
    • Department of Electrical Engineering & Computer Science, Massachusetts Institute of Technology

  • Luke Govia

    • Raytheon BBN Technologies
    • BBN Technology - Massachusetts
    • BBN Technologies

  • Yanjie Qiu

    • Massachusetts Institute of Technology MIT

  • David K Kim

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory
    • Lincoln Laboratory, MIT
    • MIT - Lincoln Laboratory
    • Massachusetts Institute of Technology MIT

  • Roni Winik

    • MIT Research Laboratory of Electronics
    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology
    • Research Laboratory of Electronics, Massachusetts Institute of Technology
    • MIT

  • Alexander Melville

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory
    • Lincoln Laboratory, MIT
    • MIT - Lincoln Laboratory

  • Bethany Niedzielski

    • MIT Lincoln Laboratory
    • MIT Lincoln Lab
    • Lincoln Laboratory, MIT
    • MIT - Lincoln Laboratory
    • Massachusetts Institute of Technology MIT

  • Jonilyn Yoder

    • MIT Lincoln Laboratory
    • MIT Lincoln Lab
    • Research Laboratory of Electronics, Massachusetts Institute of Technology
    • Lincoln Laboratory, MIT
    • MIT - Lincoln Laboratory
    • Massachusetts Institute of Technology MIT

  • Thomas A Ohki

    • Raytheon BBN Technologies
    • BBN Technology - Massachusetts
    • BBN Technologies

  • Hari Krovi

    • Raytheon BBN Technologies

  • Terry Philip Orlando

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

  • Simon Gustavsson

    • Research Laboratory of Electronics, Massachusetts Institute of Technology
    • MIT Research Laboratory of Electronics
    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology
    • MIT

  • 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