Machine Learning Assisted Superconducting Qubit Readout – Part II: Deep Reinforcement Learning

ORAL

Abstract

Qubit-state readout of contemporary superconducting quantum processors is a significant error source. For a qubit dispersively coupled to a resonator, quick resonator ring-up and ring-down ensure fast readout and limited qubit dephasing in future operations. In an efficient, frequency-multiplexed readout of multiple qubits, effects such as drive crosstalk increase the complexity of optimal readout pulse shapes, requiring computationally intensive methods to discover high-fidelity pulse shapes. We present a pulse shaping optimization module using deep reinforcement learning (DRL). We compare DRL to conventional methods in readout pulse shaping experiments of multi-qubit devices and evaluate future generalized use of DRL methods in quantum computing.

*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 of the US Government.

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Presenters

  • Cole Hoffer

    • Massachusetts Institute of Technology MIT

Authors

  • Cole Hoffer

    • Massachusetts Institute of Technology MIT

  • Benjamin Lienhard

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

  • 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

  • Vilhelm L Andersen Woltz

    • 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

  • 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

  • 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