English

Robustness of Quantum-Enhanced Adaptive Phase Estimation

Quantum Physics 2019-07-18 v2 Machine Learning Systems and Control Machine Learning

Abstract

As all physical adaptive quantum-enhanced metrology schemes operate under noisy conditions with only partially understood noise characteristics, so a practical control policy must be robust even for unknown noise. We aim to devise a test to evaluate the robustness of AQEM policies and assess the resource used by the policies. The robustness test is performed on QEAPE by simulating the scheme under four phase-noise models corresponding to normal-distribution noise, random-telegraph noise, skew-normal-distribution noise, and log-normal-distribution noise. Control policies are devised either by an evolutionary algorithm under the same noisy conditions, albeit ignorant of its properties, or a Bayesian-based feedback method that assumes no noise. Our robustness test and resource comparison method can be used to determining the efficacy and selecting a suitable policy.

Keywords

Cite

@article{arxiv.1809.05525,
  title  = {Robustness of Quantum-Enhanced Adaptive Phase Estimation},
  author = {Pantita Palittapongarnpim and Barry C. Sanders},
  journal= {arXiv preprint arXiv:1809.05525},
  year   = {2019}
}

Comments

15 pages, 2 figures, 2 tables

R2 v1 2026-06-23T04:06:54.178Z