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Quantum Information and Measurement (QIM)

Hamiltonian learning for the estimation of magnetic fields with nanoscale quantum sensors

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

Published Jan 1, 2019• 0 citations
Publisher

Abstract

Hamiltonian learning can be used to efficiently characterise quantum systems. Here we apply it to the estimation of magnetic fields with quantum sensors, achieving experimentally, room temperature sensing performance comparable to those of cryogenic set-ups.
DOI
10.1364/qim.2019.f4a.3

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