Bayesian estimation for collisional thermometry
نویسندگان
چکیده
Quantum thermometry exploits the high level of control in coherent devices to offer enhanced precision for temperature estimation. This highlights need constructing concrete estimation strategies. Of particular importance is collisional thermometry, where a series ancillae are sent sequentially probe system's temperature. In this paper we put forth complete framework analyzing using Bayesian inference. The approach easily implementable and experimentally friendly. Moreover, it guaranteed always saturate Cram\'er-Rao bound long-time limit. Subtleties concerning prior information about also discussed analyzed terms modified associated with Van Trees Sch\"utzenberger.
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ژورنال
عنوان ژورنال: Physical review
سال: 2022
ISSN: ['0556-2813', '1538-4497', '1089-490X']
DOI: https://doi.org/10.1103/physreva.105.012212