@inproceedings{b785bcb16381450dbe592bc93b83fed2,
title = "Room temperature magnetic field learning with optically readout single NV-centers",
abstract = "We 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 τ is adaptively chosen at each step via an efficient particle guess heuristic [1].",
author = "Gentile, \{Antonio A.\} and Raffaele Santagati and Sebastian Knauer and Simon Schmitt and Stefano Paesani and Chris Granade and Nathan Wiebe and Christian Osterkamp and McGuinness, \{Liam P.\} and Jianwei Wang and Thompson, \{Mark G.\} and Rarity, \{John G.\} and Fedor Jelezko and Anthony Laing",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019 ; Conference date: 23-06-2019 Through 27-06-2019",
year = "2019",
month = jun,
doi = "10.1109/CLEOE-EQEC.2019.8871880",
language = "English",
series = "2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019",
address = "United States",
}