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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.

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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