Real-time Bayesian Estimation and Feedback Control with a Nitrogen Vacancy Center in Diamond
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Date
2022-10-04
Authors
Turner, Ethan
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Journal ISSN
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Publisher
University of Oregon
Abstract
Quantum sensing utilizes the sensitivity of a quantum system to a given physical quantity in order to derive an estimate for that physical quantity. Nitrogen vacancy (NV) centers in diamond have emerged as a popular quantum system for sensing purposes. Due to their sensitivity to a wide variety of physical quantities, NV centers in single and ensemble densities have been employed as magnetometers, electrometers, pressure sensors, and thermometers. While sensing of static and periodic signals has been achieved at nanoscale resolutions, time varying signals are still under study. In this dissertation we demonstrate real-time sensing of a time-varying magnetic field using a single NV center placed in the dark state via coherent population trapping. Estimation carried out by a Bayesian inference-based estimator generates estimates of the field with thedetection of a single photon. The estimator’s sensitivity to statistical parameters of the fluctuating magnetic field allows for parameter optimization using feedback control. Real-time magnetometry using a single solid-state spin can add a new and powerful tool to quantum sensing.
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Keywords
diamond, magnetometry, nitrogen, sense, sensing, vacancy