Suppression of non-Markovian noise by randomized compiling

ORAL

Abstract

Randomized compiling (RC) is a widely used tool to tailor arbitrary quantum noise channels into Pauli errors. While RC is well established, its effect on temporally correlated errors is not fully understood. Here, we make use of a recent cumulant expansion technique [1] to show that for a broad class of correlated Gaussian noise, RC reduces both the strength and temporal range of correlations. For Clifford circuits, we derive a simple analytical expression for the average gate fidelity (AGF) of randomly compiled circuits. Surprisingly, we show that the AGF is always higher than in the corresponding Markovian limit, suggesting that randomized compiling effectively leverages the temporal correlations to mitigate the effects of the noise. To lowest order, we also show that RC removes the quantum component of bath correlations, suggesting that similar mechanisms may extend to generic stationary quantum baths. These results clarify how RC mitigates memory effects and enhances circuit robustness.

*This research was sponsored by the Army Research Office and was accomplished under Grant No. W911NF-23-1-0116

Publication: [1] A. Brillant, P. Groszkowski, A. Seif, J. Koch, and A. A. Clerk, Randomized benchmarking with non-markovian noise and realistic finite-time gates, Phys. Rev. Lett. 135, 070601 (2025)

Presenters

  • Antoine Brillant

    • University of Chicago

Authors

  • Antoine Brillant

    • University of Chicago
  • Rohan N Rajmohan

    • Northwestern University
  • Peter Groszkowski

    • Oak Ridge National Laboratory
  • Alireza Seif

    • IBM Corporation
  • Jens Koch

    • Northwestern University
  • Aashish A Clerk

    • University of Chicago
    • University of Chicago, AWS Center for Quantum Computing
    • U Chicago