Hybrid Cramér-Rao Bound for Quantum Bayes Point Estimation with Nuisance Parameters
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| Publicado en: | Entropy vol. 27, no. 12 (2025), p. 1184-1205 |
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MDPI AG
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| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 100 | 1 | |a Zhang, Jianchao |u Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo 182-8585, Japan; junsuzuki@uec.ac.jp | |
| 245 | 1 | |a Hybrid Cramér-Rao Bound for Quantum Bayes Point Estimation with Nuisance Parameters | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a We develop a hybrid framework for quantum parameter estimation in the presence of nuisance parameters. In this scheme, the parameters of interest are treated as fixed non-random parameters while nuisance parameters are integrated out with respect to a prior (random parameters). Within this setting, we introduce the hybrid partial quantum Fisher information matrix (hpQFIM), defined by prior-averaging the nuisance block of the QFIM and taking a Schur complement, and derive a corresponding Cramér–Rao-type lower bound on the hybrid risk. We establish the structural properties of the hpQFIM, including inequalities that bracket it between computationally tractable approximations, as well as limiting behaviors under extreme priors. Operationally, the hybrid approach improves over pure point estimation since the optimal measurement for the parameters of interest depends only on the prior distribution of the nuisance, rather than on its unknown value. We illustrate the framework with analytically solvable qubit models and numerical examples, clarifying how partial prior information on nuisance variables can be systematically exploited in quantum metrology. | |
| 653 | |a Lower bounds | ||
| 653 | |a Approximation | ||
| 653 | |a Cramer-Rao bounds | ||
| 653 | |a Random variables | ||
| 653 | |a Fisher information | ||
| 653 | |a Parameter estimation | ||
| 653 | |a Localization | ||
| 653 | |a Theorems | ||
| 653 | |a Boundary conditions | ||
| 653 | |a Efficiency | ||
| 653 | |a Qubits (quantum computing) | ||
| 653 | |a Nuisance | ||
| 700 | 1 | |a Suzuki, Jun |u Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo 182-8585, Japan; junsuzuki@uec.ac.jp | |
| 773 | 0 | |t Entropy |g vol. 27, no. 12 (2025), p. 1184-1205 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3286279892/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3286279892/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3286279892/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |