Suppressing errors in quantum circuits using real-time, closed-loop feedback

ORAL

Abstract

Realizing quantum circuits of practical relevance requires accurate, real-time control over all parameters of a large quantum processor, which fluctuate on short timescales due to coupling to environmental noise. Here, building on prior work with single qubits [1], we introduce a framework for using real-time, closed-loop feedback to stabilize frequency fluctuations in a grid of tunable transmons interacting via tunable couplers. We investigate different strategies for estimating frequency corrections and explore how feedback allows the system’s tunability to be exploited for optimization without sacrificing device performance significantly. Combining these techniques, we study how our framework suppresses errors in multi-qubit quantum circuits that are vital for the realization of quantum error correction, including controlled-Z gates and parity check cycles.

[1] A. Vepsäläinen, R. Winik, et al., Nature Communications 13, 1932 (2022) | arXiv:2105.01107 (2021)

*This work was funded in part by the U.S. Army Research Office (ARO) Multidisciplinary University Research Initiative (MURI) W911NF-18-1-0218.

Presenters

  • Lukas Pahl

    • Massachusetts Institute of Technology

Authors

  • Lukas Pahl

    • Massachusetts Institute of Technology
  • David Pahl

    • Massachusetts Institute of Technology
  • Melvin Mathews

    • Massachusetts Institute of Technology
  • Kevin Kiener

    • Walther Meissner Institut
  • Antti Vepsäläinen

    • IQM Quantum computers
  • Youngkyu Sung

    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MIT
  • Roni Winik

    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MI
  • David K Kim

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory
  • Bethany Niedzielski

    • MIT Lincoln Laboratory
  • Jonilyn L Yoder

    • MIT Lincoln Lab
    • MIT Lincoln Laboratory
  • Mollie E Schwartz

    • MIT Lincoln Laboratory
  • Kyle Serniak

    • MIT Lincoln Laboratory & MIT RLE
    • MIT Lincoln Laboratory
    • MIT Lincoln Laboratory, MIT RLE
  • Simon Gustavsson

    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology
  • Jeffrey A Grover

    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology (MIT)
    • Massachusetts Institute of Technology MIT
  • William D Oliver

    • Massachusetts Institute of Technology MI
    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology (MIT)
    • Massachusetts Institute of Technology MIT