Optimized Diamond Development for Quantum Vector Magnetometry

Autor: Alexandra Day, Xingyu Zhang, Danielle Braje, Charles Wuorio, John Barry, Linh M. Pham
Rok vydání: 2019
Předmět:
Zdroj: 2019 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL).
DOI: 10.1109/isiss.2019.8739658
Popis: Magnetometers have long been used in aiding navigation. While the application space has progressed from the simplicity of compassing to complete geolocation with a priori maps, the extant sensor technologies have plateaued. Each magnetometer platform exhibits at least one nonideal property for navigation applications. For example, fluxgate magnetometers, measuring vector field, suffer from low-frequency drift whereas vapor-cell magnetometers, measuring only scalar field, are insensitive to the field orientation. MIT-LL is developing a novel, absolute vector magnetometer based on the nitrogen-vacancy (NV) color center in diamond. While much of the progress in the diamond community has relied on commercially available material developed for gemstones or electronics, here we develop diamond with NV ensembles tailored for sensing. Although the results focus on magnetometry, they can be applied to additional sensing modalities (e.g. gyroscopes [1], electric field sensors [2], and thermometers [3]). This conference presentation will show enhancement in sensor-based diamond material properties, with over 20-fold enhancement in NV ensemble dephasing times over commercial-off-the-shelf (COTS) diamond. We illustrate how this affects magnetometer performance with respect to applications such as magnetic navigation.
Databáze: OpenAIRE