Real-time magnetometry with coherent population trapping in a nitrogen-vacancy center
At a Glance
Section titled āAt a Glanceā| Metadata | Details |
|---|---|
| Publication Date | 2022-01-20 |
| Journal | Physical review. A/Physical review, A |
| Authors | Ethan Turner, Shu-Hao Wu, Xinzhu Li, Hailin Wang |
| Institutions | University of Oregon |
| Citations | 10 |
Abstract
Section titled āAbstractāWe demonstrate real-time magnetometry by detecting fluorescence from a nitrogen-vacancy center in the setting of coherent population trapping and by estimating the magnetic field from the time series of the observed photon counts, which are correlated with the underlying field variation. The proof-of-principle experiment uses an external time-varying magnetic field that follows an Ornstein-Uhlenbeck (OU) process. A conventional estimator based on the use of average photon counts per relevant time interval is susceptible to photon number shot noise and performs poorly at relatively low average photon counts. In comparison, by taking into consideration the statistical properties of the OU process, a Bayesian inference-based estimator can effectively update dynamical information of the field in real time with the detection of just a single photon.