Quantum sensing of magnetic fields using quantum hamiltonian learning

Raffaele Santagati; Antonio A. Gentile; Sebastian Knauer; Simon Schmitt; Stefano Paesani; Chris Granade; Nathan Wiebe; Nathan Wiebe; Christian Osterkamp; Liam P. McGuinness; Jianwei Wang; Mark G. Thompson; John G. Rarity; Fedor Jelezko; Anthony Laing

doi:10.1364/FIO.2020.FTu8D.3

Frontiers in Optics / Laser Science
OSA Technical Digest (Optica Publishing Group, 2020),
paper FTu8D.3
•https://doi.org/10.1364/FIO.2020.FTu8D.3

Quantum sensing of magnetic fields using quantum hamiltonian learning

Raffaele Santagati, Antonio A. Gentile, Sebastian Knauer, Simon Schmitt, Stefano Paesani, Chris Granade, Nathan Wiebe, Christian Osterkamp, Liam P. McGuinness, Jianwei Wang, Mark G. Thompson, John G. Rarity, Fedor Jelezko, and Anthony Laing

Frontiers in Optics 2020

Washington, DC United States
14–17 September 2020
ISBN: 978-1-943580-80-4

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Machine Learning and Optimization Methods for Quantum Information (FTu8D)

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R. Santagati, A. A. Gentile, S. Knauer, S. Schmitt, S. Paesani, C. Granade, N. Wiebe, C. Osterkamp, L. P. McGuinness, J. Wang, M. G. Thompson, J. G. Rarity, F. Jelezko, and A. Laing, "Quantum sensing of magnetic fields using quantum hamiltonian learning," in Frontiers in Optics / Laser Science, B. Lee, C. Mazzali, K. Corwin, and R. Jason Jones, eds., OSA Technical Digest (Optica Publishing Group, 2020), paper FTu8D.3.

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Abstract

We present our recent results in applying machine learning to the estimation of magnetic fields with NV centers quantum sensors. We report room temperature sensitivities comparable to those so far achieved with cryogenic set-ups.

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