Versatile Atomic Magnetometry Assisted by Bayesian Inference

R. Puebla*, Y. Ban, J. F. Haase, M. B. Plenio, M. Paternostro, J. Casanova

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
31 Downloads (Pure)

Abstract

Quantum sensors typically translate external fields into a periodic response whose frequency is then determined by analyses performed in Fourier space. This allows for a linear inference of the parameters that characterize external signals. In practice, however, quantum sensors are able to detect fields only in a narrow range of amplitudes and frequencies. A departure from this range, as well as the presence of significant noise sources and short detection times, lead to a loss of the linear relationship between the response of the sensor and the target field, thus limiting the working regime of the sensor. Here we address these challenges by means of a Bayesian inference approach that is tolerant to strong deviations from desired periodic responses of the sensor and is able to provide reliable estimates even with a very limited number of measurements. We demonstrate our method for an 171Yb+ trapped-ion quantum sensor but stress the general applicability of this approach to different systems.

Original languageEnglish
Article number024044
JournalPhysical Review Applied
Volume16
Issue number2
DOIs
Publication statusPublished - 25 Aug 2021

Bibliographical note

Funding Information:
We thank Benjamin D’Anjou for helpful comments, and acknowledge financial support from the Spanish Government via PGC2018-095113-B-I00 (MCIU/AEI/FEDER, UE) and EUR2020-112117, the Basque Government via IT986-16, as well as from QMiCS (820505) and OpenSuperQ (820363) of the EU Flagship on Quantum Technologies, and the EU FET Open Grant Quromorphic. J.C. acknowledges the Ramón y Cajal program (RYC2018- 025197-I) and support from the UPV/EHU through the grant EHUrOPE. M.B.P. acknowledges support from the ERC Synergy Grant HyperQ, the EU Flagship project AsteriQs, and the BMBF projects Nanospin and DiaPol. J.F.H. acknowledges support from the Alexander von Humboldt Foundation in the form of a Feodor-Lynen Fellowship. R.P. and M.P. acknowledge support from the SFI-DfE Investigator Programme (Grant No. 15/IA/2864). M.P. acknowledges the H2020 Collaborative Project TEQ (Grant Agreement No. 766900), the Leverhulme Trust Research Project Grant UltraQuTe (Grant No. RGP-2018-266), the Royal Society Wolfson Fellowship (RSWF/R3/183013), and the UK EPSRC (Grant No. EP/T028106/1).

Funding Information:
We thank Benjamin D'Anjou for helpful comments, and acknowledge financial support from the Spanish Government via PGC2018-095113-B-I00 (MCIU/AEI/FEDER, UE) and EUR2020-112117, the Basque Government via IT986-16, as well as from QMiCS (820505) and OpenSuperQ (820363) of the EU Flagship on Quantum Technologies, and the EU FET Open Grant Quromorphic. J.C. acknowledges the Ramon y Cajal program (RYC2018- 025197-I) and support from the UPV/EHU through the grant EHUrOPE. M.B.P. acknowledges support from the ERC Synergy Grant HyperQ, the EU Flagship project AsteriQs, and the BMBF projects Nanospin and DiaPol. J.F.H. acknowledges support from the Alexander von Humboldt Foundation in the form of a Feodor-Lynen Fellowship. R.P. and M.P. acknowledge support from the SFI-DfE Investigator Programme (Grant No. 15/IA/2864). M.P. acknowledges the H2020 Collaborative Project TEQ (Grant Agreement No. 766900), the Leverhulme Trust Research Project Grant UltraQuTe (Grant No. RGP-2018-266), the Royal Society Wolfson Fellowship (RSWF/R3/183013), and the UK EPSRC (Grant No. EP/T028106/1).

Publisher Copyright:
© 2021 American Physical Society.

ASJC Scopus subject areas

  • General Physics and Astronomy

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