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- W3098710725 abstract "Abstract Experimentally achieving the precision that standard quantum metrology schemes promise is always challenging. Recently, additional controls were applied to design feasible quantum metrology schemes. However, these approaches generally does not consider ease of implementation, raising technological barriers impeding its realization. In this paper, we circumvent this problem by applying closed-loop learning control to propose a practical controlled sequential scheme for quantum metrology. Purity loss of the probe state, which relates to quantum Fisher information, is measured efficiently as the fitness to guide the learning loop. We confirm its feasibility and certain superiorities over standard quantum metrology schemes by numerical analysis and proof-of-principle experiments in a nuclear magnetic resonance system." @default.
- W3098710725 created "2020-11-23" @default.
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- W3098710725 date "2020-07-16" @default.
- W3098710725 modified "2023-10-18" @default.
- W3098710725 title "Probe optimization for quantum metrology via closed-loop learning control" @default.
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- W3098710725 doi "https://doi.org/10.1038/s41534-020-00292-z" @default.
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