Predictive feedback for active noise canceling in superconducting quantum processors

ORAL

Abstract

Superconducting qubits are amongst the most promising platforms for building near term practical quantum information processors. However, the coherence time (T2) of these qubits is negatively impacted in the presence of dephasing noise. In this work, we show how to efficiently estimate the noise spectrum experienced by the qubit, employ techniques from machine learning to predict the correlated noise in the future and use fast-feedback with an FPGA to cancel the noise. We propose using this estimate-predict-feedback sequence as a tool to increase gate fidelities while running a quantum circuit.

*This research was funded in part by the ARO MURI W911NF-18-1-0218; and by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA) under Air Force Contract No. FA8721-05-C-0002. Amir Karamlou is funded by NSF GRFP 2018265551 The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of ODNI, IARPA, or the US Government.

Presenters

  • Amir Karamlou

    • Massachusetts Institute of Technology MIT
    • Research Laboratory of Electronics, Massachusetts Institute of Technology MIT

Authors

  • Amir Karamlou

    • Massachusetts Institute of Technology MIT
    • Research Laboratory of Electronics, Massachusetts Institute of Technology MIT
  • Antti Vepsalainen

    • Research Laboratory of Electronics, Massachusetts Institute of Technology
    • Research Laboratory of Electronics, Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology MIT
  • Roni Winik

    • Research Laboratory of Electronics, Massachusetts Institute of Technology
    • Research Laboratory of Electronics, Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology
  • David K Kim

    • MIT Lincoln Laboratory
    • MIT Lincoln Lab
    • MIT-Lincoln Lab
    • MIT Lincoln Laboratories
    • Lincoln Laboratory, Massachusetts Institute of Technology (MIT)
    • Massachusetts Institute of Technology (MIT) Lincoln Laboratory
  • Jonilyn Yoder

    • MIT Lincoln Laboratory
    • MIT-Lincoln Lab
    • Lincoln Laboratory, Massachusetts Institute of Technology (MIT)
    • MIT Lincoln Lab
  • Alexander Melville

    • MIT Lincoln Laboratory
    • MIT Lincoln Lab
    • MIT Lincoln Laboratories
    • Massachusetts Institute of Technology (MIT) Lincoln Laboratory
  • Bethany Niedzielski

    • MIT Lincoln Laboratory
  • Terry Philip Orlando

    • Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology
    • Research Laboratory of Electronics, Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology MIT
    • Electrical Engineering and Computer Science, Massachusetts Institute of Technology
    • Research Laboratory of Electronics, Massachusetts Institute of Technology
    • Massachusetts Institute of Technology
    • MIT Lincoln Laboratory
    • Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT)
  • Simon Gustavsson

    • Research Laboratory of Electronics, Massachusetts Institute of Technology
    • Research Laboratory of Electronics, Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology
    • Research Laboratory of Electronics, Massachusetts Institute of Technology (MIT)
  • William Oliver

    • Research Laboratory of Electronics, Department of Electrical Engineering and Computer Science, Department of Physics, MIT Lincoln Laboratory, Massachusetts Institute of Techn
    • MIT Lincoln Lab
    • MIT Lincoln Laboratory
    • MIT Lincoln Laboratory, Massachusetts Institute of Technology
    • Department of Physics, Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Lincoln Laboratory, Massachusetts Institute of Technology
    • Research Laboratory of Electronics, Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology MIT
    • Department of Electrical Engineering and Computer Science, Department of Physics, Massachusetts Institute of Technology; MIT Lincoln Laboratory
    • Department of Electrical Engineering and Computer Science, Department of Physics, MIT Lincoln Laboratory, Massachusetts Institute of Technology
    • Massachusetts Institute of Technology
    • Research Laboratory of Electronics, Massachusetts Institute of Technology
    • Research Laboratory of Electronics, Department of Electrical Engineering & Computer Science, Department of Physics, Massachusetts Institute of Technology and MIT Lincoln Labo
    • Physics, MIT
    • MIT-Lincoln Lab
    • MIT Lincoln Laboratories
    • Research Laboratory of Electronics, Department of Physics, Department of Electrical Engineering and Computer Science, Lincoln Laboratory, Massachusetts Institute of Technolog