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This research addresses the fundamental challenge of control incompatibility in multiparameter quantum estimation, a critical bottleneck for advancing quantum sensing and imaging technologies. By explicitly demonstrating cases where optimal strategies for different parameters conflict, the study provides actionable insights into minimizing precision trade-offs to enhance overall measurement accuracy. These findings are essential for developing robust control protocols required for practical multi-parameter quantum applications.
Control incompatibility in multiparameter quantum metrology
arXiv:2411.18896v2 Announce Type: replace Abstract: In practical applications like quantum sensing and quantum imaging, there is often a necessity to estimate multiple parameters simultaneously. Although the ultimate precision limits for single-parameter estimation are well established, the precision limit of multi-parameter estimation is much less understood. This is primarily due to the inherent incompatibility of the optimal strategies for the estimation of different parameters, particularly those pertaining to optimal control.In this study, we tackle the critical issue of control incompatibility in multi-parameter estimation by presenting explicit cases that expose this challenge. Our research not only pioneers the exploration of control incompatibility but also highlights its pivotal role in the field. Furthermore, our work offers valuable insights into how to minimize trade-offs induced by control incompatibility and enhance precision. This paves the way for future investigations into control strategies that enable optimal estimation of multiple parameters that are incompatible.
Abstract:In practical applications like quantum sensing and quantum imaging, there is often a necessity to estimate multiple parameters simultaneously. Although the ultimate precision limits for single-parameter estimation are well established, the precision limit of multi-parameter estimation is much less understood. This is primarily due to the inherent incompatibility of the optimal strategies for the estimation of different parameters, particularly those pertaining to optimal this http URL this study, we tackle the critical issue of control incompatibility in multi-parameter estimation by presenting explicit cases that expose this challenge. Our research not only pioneers the exploration of control incompatibility but also highlights its pivotal role in the field. Furthermore, our work offers valuable insights into how to minimize trade-offs induced by control incompatibility and enhance precision. This paves the way for future investigations into control strategies that enable optimal estimation of multiple parameters that are incompatible.
arXiv:2411.18896 [quant-ph]
(or arXiv:2411.18896v2 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2411.18896 Focus to learn more arXiv-issued DOI via DataCite
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