Spin-based continuous Bayesian magnetic-field estimations aided by feedback control

Turner, Ethan; Wu, Shu-Hao; Li, Xinzhu; Wang, Hailin

doi:10.1103/PhysRevA.106.052603

Spin-based continuous Bayesian magnetic-field estimations aided by feedback control

Nov 7, 2022

6 pages

Published in:

Phys.Rev.A 106 (2022) 5, 052603

Published: Nov 7, 2022

DOI:

10.1103/PhysRevA.106.052603 (publication)

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Abstract: (APS)

We demonstrate continuous real-time Bayesian estimations of magnetic-field fluctuations by monitoring single-photon emissions from a diamond nitrogen vacancy center under the setting of coherent population trapping, for which the time sequence of the single-photon emissions is correlated with the underlying magnetic-field fluctuations. The Bayesian estimations are combined with a feedback loop and are followed by a separate verification and optimization process, which uses the spin-dephasing rate in the presence of the feedback as a cost function. The dephasing rate is measured with Ramsey interferometry and is minimized by systematically varying the statistical parameters used in the estimations. The Bayesian estimations aided by the feedback and verification enable continuous real-time sensing at the single-photon level regardless of the prior availability of the statistical parameters of the underlying dynamics.

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