Bayesian estimation for quantum sensing in the absence of single-shot detection

Hossein T. Dinani, Dominic W. Berry, Raul Gonzalez, Jeronimo R. Maze, Cristian Bonato

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    32 Citations (Scopus)
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    Quantum information protocols, such as quantum error correction and quantum phase estimation, have been widely used to enhance the performance of quantum sensors. While these protocols have relied on single-shot detection, in most practical applications only an averaged readout is available, as in the case of room-temperature sensing with the electron spin associated with a nitrogen-vacancy center in diamond. Here, we theoretically investigate the application of the quantum phase estimation algorithm for high dynamic-range magnetometry, when single-shot readout is not available. We show that, even in this case, Bayesian estimation provides a natural way to efficiently use the available information. We apply Bayesian analysis to achieve an optimized sensing protocol for estimating a time-independent magnetic field with a single electron spin associated to a nitrogen-vacancy center at room temperature and show that this protocol improves the sensitivity over previous protocols by more than a factor of 3. Moreover, we show that an extra enhancement can be achieved by considering the timing information in the detector clicks.

    Original languageEnglish
    Article number125413
    Pages (from-to)1-7
    Number of pages7
    JournalPhysical Review B
    Issue number12
    Publication statusPublished - 11 Mar 2019

    Bibliographical note

    Copyright 2019 American Physical Society. Firstly published in Physical Review B, 99(12), 125413, 2019. The original publication is available at Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.


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