Single-Qubit Optimal Quantum Readout via Neural Networks

ORAL

Abstract

High fidelity readout is an essential part of quantum computing. Conventional approaches for superconducting circuit readout rely on linear models. We explore the benefits of employing alternative classification schemes based on neural networks to improve fidelity. Experimental results of qubit readout will be presented.

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Presenters

  • Wei Tang

    • Computer Science, Princeton University

Authors

  • Wei Tang

    • Computer Science, Princeton University

  • Zhaoqi Leng

    • Physics, Princeton University
    • Princeton University

  • Andrew Houck

    • Princeton University
    • Electrical Engineering, Princeton University
    • Department of Electrical Engineering, Princeton University

  • Margaret Martonosi

    • Computer Science, Princeton University
    • Princeton University