Quantum-tailored machine-learning characterization of quantum processors

ORAL

Abstract

Standard methods for characterizing quantum devices require resources that grow exponentially with system size. As an alternative to these unscalable techniques, one can use readily available knowledge about the device in order to acquire information about a quantum state more efficiently. Here, we introduce a machine-learning architecture for inferring and interpreting the dynamics of a quantum device from time-series measurement data. Our recurrent architecture leverages quantum-mechanical structure in its design to interpret limited measurement data from quantum devices more accurately. We treat both numerically generated and experimental data for the case of a driven superconducting transmon qubit probed by a weak microwave tone implementing heterodyne measurement. This work shows how a physics-inspired machine-learning model can improve the learning of device-specific quantum dynamics and parameters. These can then be used to characterize and calibrate superconducting quantum processors.

*This work was undertaken thanks in part to funding from NSERC, the Canada First Research Excellence Fund and the ARO grant No. W911NF-18-1-0411.

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Presenters

  • Elie Genois

    • Universite de Sherbrooke

Authors

  • Elie Genois

    • Universite de Sherbrooke

  • Agustin Di Paolo

    • Physics, Universite de Sherbrooke
    • Universite de Sherbrooke
    • Département de Physique, Université de Sherbrooke
    • Institut quantique & Departement de Physique, Universite de Sherbrooke

  • Noah Stevenson

    • Univ of California – Berkeley
    • University of California, Berkeley
    • Univ of California - Berkeley

  • Gerwin Koolstra

    • Lawrence Berkeley National Laboratory
    • University of California, Berkeley

  • Akel Hashim

    • Univ of California – Berkeley
    • University of California, Berkeley
    • Quantum Nanoelectronics Lab, UC Berkeley
    • University of California - Berkeley

  • Irfan Siddiqi

    • Lawrence Berkeley National Laboratory
    • University of California, Berkeley
    • Univ of California - Berkeley
    • Univ of California – Berkeley
    • Quantum Nanoelectronics Lab, UC Berkeley
    • Physics, University of California, Berkeley
    • Quantum Nanoelectronics Laboratory, Dept. of Physics, University of California, Berkeley

  • Alexandre Blais

    • Universite de Sherbrooke
    • Institut Quantique and Département de Physique, Université de Sherbrooke
    • Physics, Universite de Sherbrooke
    • Université de Sherbrook
    • Université de Sherbrooke
    • Département de Physique, Université de Sherbrooke
    • Institut quantique & Departement de Physique, Universite de Sherbrooke
    • Institut quantique and Departement de physique, Universite de Sherbrooke
    • Institut Quantique and Department de Physique, Universite de Sherbrooke
    • Institut quantique and Departement de Physique, Universite de Sherbrooke

  • Jonathan Gross

    • Universite de Sherbrooke