Entropy (Sep 2023)

Asymptotically Optimal Adversarial Strategies for the Probability Estimation Framework

  • Soumyadip Patra,
  • Peter Bierhorst

DOI
https://doi.org/10.3390/e25091291
Journal volume & issue
Vol. 25, no. 9
p. 1291

Abstract

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The probability estimation framework involves direct estimation of the probability of occurrences of outcomes conditioned on measurement settings and side information. It is a powerful tool for certifying randomness in quantum nonlocality experiments. In this paper, we present a self-contained proof of the asymptotic optimality of the method. Our approach refines earlier results to allow a better characterisation of optimal adversarial attacks on the protocol. We apply these results to the (2,2,2) Bell scenario, obtaining an analytic characterisation of the optimal adversarial attacks bound by no-signalling principles, while also demonstrating the asymptotic robustness of the PEF method to deviations from expected experimental behaviour. We also study extensions of the analysis to quantum-limited adversaries in the (2,2,2) Bell scenario and no-signalling adversaries in higher (n,m,k) Bell scenarios.

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