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Control incompatibility in multiparameter quantum metrology
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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.
Forward citations
Cited by 3 Pith papers
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Measurement incompatibility in Bayesian multiparameter quantum estimation
Measurement incompatibility at most doubles the minimum mean-square loss in Bayesian multiparameter quantum estimation, relative to the symmetric-posterior-mean bound.
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A room-temperature NV-center experiment simultaneously estimates amplitude, detuning, and phase of a microwave drive from one sequence, with sensitivity improving linearly in interrogation time.
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