Room Temperature Magnetic Field Learning with Optically Readout Single NV-Centers
At a Glance
Section titled āAt a Glanceā| Metadata | Details |
|---|---|
| Publication Date | 2019-06-01 |
| Authors | Antonio A. Gentile, Jianwei Wang, Mark G. Thompson, John Rarity, Fedor Jelezko |
| Institutions | Microsoft (United States), University of Bristol |
Abstract
Section titled āAbstractāWe propose and test a Magnetic Field Learning (MFL) protocol for high-resolution, high dynamic range and high-sensitivity magnetometry with a single NV-center electron spin. Our approach leverages recent proposals that analyze the benefits of adopting classical machine learning to post-process quantum data in quantum sensing protocols [1]. MFL was tested at room-temperature using a setup detecting state-dependent fluorescence via confocal microscopy, and a microwave controlled NV defect in bulk diamond as a sensor [2]. This setup senses the intensity of a magnetic field B in the proximity of the quantum sensor via Ramsey interferometry [3]. In our protocol, the Ramsey precession time Ļ is adaptively chosen at each step via an efficient particle guess heuristic [1].
Tech Support
Section titled āTech SupportāOriginal Source
Section titled āOriginal SourceāReferences
Section titled āReferencesā- 2015 - Optimized quantum sensing with a single electron spin using real-time adaptive measurements
- 2018 - Magnetic-field-learning using a single electronic spin in diamond with one photon–readout at room temperature