Real-time Bayesian Estimation and Feedback Control with a Nitrogen Vacancy Center in Diamond

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dc.contributor.advisorWang, Hailin
dc.contributor.authorTurner, Ethan
dc.date.accessioned2022-10-04T19:36:27Z
dc.date.available2022-10-04T19:36:27Z
dc.date.issued2022-10-04
dc.description.abstractQuantum 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.en_US
dc.identifier.urihttps://hdl.handle.net/1794/27587
dc.language.isoen_US
dc.publisherUniversity of Oregon
dc.rightsAll Rights Reserved.
dc.subjectdiamonden_US
dc.subjectmagnetometryen_US
dc.subjectnitrogenen_US
dc.subjectsenseen_US
dc.subjectsensingen_US
dc.subjectvacancyen_US
dc.titleReal-time Bayesian Estimation and Feedback Control with a Nitrogen Vacancy Center in Diamond
dc.typeElectronic Thesis or Dissertation
thesis.degree.disciplineDepartment of Physics
thesis.degree.grantorUniversity of Oregon
thesis.degree.leveldoctoral
thesis.degree.namePh.D.

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