Bayesian Logarithmic Derivative Type Lower Bounds for Quantum Estimation

Fuente: arXiv
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Hauptverfasser: Zhang, Jianchao, Suzuki, Jun
Format: Preprint
Veröffentlicht: 2024
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author Zhang, Jianchao
Suzuki, Jun
author_facet Zhang, Jianchao
Suzuki, Jun
contents Bayesian approach for quantum parameter estimation has gained a renewed interest from practical applications of quantum estimation theory. Recently, a lower bound, called the Bayesian Nagaoka-Hayashi bound for the Bayes risk in quantum domain was proposed, which is an extension of a new approach to point estimation of quantum states by Conlon et al. (2021). The objective of this paper is to explore this Bayesian Nagaoka-Hayashi bound further by obtaining its lower bounds. We first obtain one-parameter family of lower bounds, which is an analogue of the Holevo bound in point estimation. Thereby, we derive one-parameter family of Bayesian logarithmic derivative type lower bounds in a closed form for the parameter independent weight matrix setting. This new bound includes previously known Bayesian lower bounds as special cases.
format Preprint
id arxiv_https___arxiv_org_abs_2405_10525
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Bayesian Logarithmic Derivative Type Lower Bounds for Quantum Estimation
Zhang, Jianchao
Suzuki, Jun
Quantum Physics
Bayesian approach for quantum parameter estimation has gained a renewed interest from practical applications of quantum estimation theory. Recently, a lower bound, called the Bayesian Nagaoka-Hayashi bound for the Bayes risk in quantum domain was proposed, which is an extension of a new approach to point estimation of quantum states by Conlon et al. (2021). The objective of this paper is to explore this Bayesian Nagaoka-Hayashi bound further by obtaining its lower bounds. We first obtain one-parameter family of lower bounds, which is an analogue of the Holevo bound in point estimation. Thereby, we derive one-parameter family of Bayesian logarithmic derivative type lower bounds in a closed form for the parameter independent weight matrix setting. This new bound includes previously known Bayesian lower bounds as special cases.
title Bayesian Logarithmic Derivative Type Lower Bounds for Quantum Estimation
topic Quantum Physics
url https://arxiv.org/abs/2405.10525