2023
DOI: 10.48550/arxiv.2302.14223
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Bayesian Nagaoka-Hayashi Bound for Multiparameter Quantum-State Estimation Problem

Abstract: In this work we propose a Bayesian version of the Nagaoka-Hayashi bound when estimating a parametric family of quantum states. This lower bound is a generalization of a recently proposed bound for point estimation to Bayesian estimation. We then show that the proposed lower bound can be efficiently computed as a semidefinite programming problem. As a lower bound, we also derive a Bayesian version of the Holevo bound from the Bayesian Nagaoka-Hayashi bound. Lastly, we prove that the new lower bound is tighter t… Show more

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“…However, the assumption made in this paper that the angles are well known, i.e., we are performing local estimation, may no longer hold. Our results could be extended to this case through Bayesian estimation [ 153 , 154 ]. Finally, it would be interesting to investigate whether these results can be applied to quantum key distribution, where it is important to estimate the parameters of noisy channels [ 155 , 156 , 157 ].…”
Section: Discussionmentioning
confidence: 99%
“…However, the assumption made in this paper that the angles are well known, i.e., we are performing local estimation, may no longer hold. Our results could be extended to this case through Bayesian estimation [ 153 , 154 ]. Finally, it would be interesting to investigate whether these results can be applied to quantum key distribution, where it is important to estimate the parameters of noisy channels [ 155 , 156 , 157 ].…”
Section: Discussionmentioning
confidence: 99%