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Non-Gaussian noise spectroscopy with a superconducting qubit sensor

Author

Listed:
  • Youngkyu Sung

    (Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

  • Félix Beaudoin

    (Dartmouth College
    NanoAcademic Technologies)

  • Leigh M. Norris

    (Dartmouth College)

  • Fei Yan

    (Massachusetts Institute of Technology)

  • David K. Kim

    (MIT Lincoln Laboratory)

  • Jack Y. Qiu

    (Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

  • Uwe Lüpke

    (Massachusetts Institute of Technology)

  • Jonilyn L. Yoder

    (MIT Lincoln Laboratory)

  • Terry P. Orlando

    (Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

  • Simon Gustavsson

    (Massachusetts Institute of Technology)

  • Lorenza Viola

    (Dartmouth College)

  • William D. Oliver

    (Massachusetts Institute of Technology
    Massachusetts Institute of Technology
    MIT Lincoln Laboratory
    Massachusetts Institute of Technology)

Abstract

Accurate characterization of the noise influencing a quantum system of interest has far-reaching implications across quantum science, ranging from microscopic modeling of decoherence dynamics to noise-optimized quantum control. While the assumption that noise obeys Gaussian statistics is commonly employed, noise is generically non-Gaussian in nature. In particular, the Gaussian approximation breaks down whenever a qubit is strongly coupled to discrete noise sources or has a non-linear response to the environmental degrees of freedom. Thus, in order to both scrutinize the applicability of the Gaussian assumption and capture distinctive non-Gaussian signatures, a tool for characterizing non-Gaussian noise is essential. Here, we experimentally validate a quantum control protocol which, in addition to the spectrum, reconstructs the leading higher-order spectrum of engineered non-Gaussian dephasing noise using a superconducting qubit as a sensor. This first experimental demonstration of non-Gaussian noise spectroscopy represents a major step toward demonstrating a complete spectral estimation toolbox for quantum devices.

Suggested Citation

  • Youngkyu Sung & Félix Beaudoin & Leigh M. Norris & Fei Yan & David K. Kim & Jack Y. Qiu & Uwe Lüpke & Jonilyn L. Yoder & Terry P. Orlando & Simon Gustavsson & Lorenza Viola & William D. Oliver, 2019. "Non-Gaussian noise spectroscopy with a superconducting qubit sensor," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11699-4
    DOI: 10.1038/s41467-019-11699-4
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    Cited by:

    1. Yu-Xin Wang & Aashish A. Clerk, 2021. "Intrinsic and induced quantum quenches for enhancing qubit-based quantum noise spectroscopy," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    2. Ishak, Nur Izzati & Muniandy, S.V. & Chong, Wu Yi, 2021. "Entropy analysis of the discrete-time quantum walk under bit-flip noise channel," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
    3. Jonas Meinel & Vadim Vorobyov & Ping Wang & Boris Yavkin & Mathias Pfender & Hitoshi Sumiya & Shinobu Onoda & Junichi Isoya & Ren-Bao Liu & J. Wrachtrup, 2022. "Quantum nonlinear spectroscopy of single nuclear spins," Nature Communications, Nature, vol. 13(1), pages 1-9, December.

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