Consistency testing for robust phase estimation

Antonio E. Russo, William M. Kirby, Kenneth M. Rudinger, Andrew D. Baczewski, and Shelby Kimmel
Phys. Rev. A 103, 042609 – Published 15 April 2021

Abstract

We present an extension to the robust phase estimation protocol, which can identify incorrect results that would otherwise lie outside the expected statistical range. Robust phase estimation is increasingly a method of choice for applications such as estimating the effective process parameters of noisy hardware, but its robustness is dependent on the noise satisfying certain threshold assumptions. We provide consistency checks that can indicate when those thresholds have been violated, which can be difficult or impossible to test directly. We test these consistency checks for several common noise models, and identify two possible checks with high accuracy in locating the point in a robust phase estimation run at which further estimates should not be trusted. One of these checks may be chosen based on resource availability, or they can be used together in order to provide additional verification.

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  • Received 7 December 2020
  • Revised 8 February 2021
  • Accepted 1 March 2021

DOI:https://doi.org/10.1103/PhysRevA.103.042609

©2021 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
Quantum Information, Science & Technology

Authors & Affiliations

Antonio E. Russo1, William M. Kirby2, Kenneth M. Rudinger1, Andrew D. Baczewski1, and Shelby Kimmel3

  • 1Center for Computing Research, Sandia National Laboratories, Albuquerque, New Mexico 87185, USA
  • 2Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155, USA
  • 3Department of Computer Science, Middlebury College, Middlebury, Vermont 05753, USA

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Issue

Vol. 103, Iss. 4 — April 2021

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