Radio-Frequency Magnetometry Based on Parametric Resonances.


Journal

Physical review letters
ISSN: 1079-7114
Titre abrégé: Phys Rev Lett
Pays: United States
ID NLM: 0401141

Informations de publication

Date de publication:
30 Aug 2024
Historique:
received: 29 04 2024
revised: 21 06 2024
accepted: 31 07 2024
medline: 13 9 2024
pubmed: 13 9 2024
entrez: 13 9 2024
Statut: ppublish

Résumé

We propose and demonstrate a radio-frequency (rf) atomic magnetometer based on parametric resonances. Previously, most rf atomic magnetometers are based on magnetic resonances and their sensitivities are often limited by spin-exchange relaxation. Here, we introduce a novel scheme for an rf magnetometer where the rf magnetic field is measured by exciting the parametric resonances instead of magnetic resonances using parametric modulation fields. In this way, the spin-exchange relaxation is almost eliminated. Benefiting from the low spin relaxation rate, the parametric resonance scheme exhibits a narrower linewidth and stronger signal, which results in a higher sensitivity. With a 6×6×3  mm^{3} Rb atomic vapor cell, we developed an rf atomic magnetometer with a noise floor of 2  fT/Hz^{1/2}, which is about one order of magnitude higher than the sensitivity achieved in the magnetic-resonance-based scheme. The presented rf detection scheme holds promise in advancing rf atomic magnetometers and brings new insight into their various applications.

Identifiants

pubmed: 39270199
doi: 10.1103/PhysRevLett.133.093201
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

093201

Auteurs

Wei Xiao (W)

<sup>1</sup>State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, and Center for Quantum Information Technology, <a href="https://ror.org/02v51f717">Peking University</a>, Beijing 100871, China.
<sup>2</sup>MIIT Key Laboratory of Complex-field Intelligent Sensing, Advanced Research Institute of Multidisciplinary Science, <a href="https://ror.org/01skt4w74">Beijing Institute of Technology</a>, Beijing 100081, China.
<sup>3</sup>State Key Laboratory of CNS/ATM, <a href="https://ror.org/01skt4w74">Beijing Institute of Technology</a>, Beijing 100081, China.

Xiyu Liu (X)

<sup>1</sup>State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, and Center for Quantum Information Technology, <a href="https://ror.org/02v51f717">Peking University</a>, Beijing 100871, China.

Teng Wu (T)

<sup>1</sup>State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, and Center for Quantum Information Technology, <a href="https://ror.org/02v51f717">Peking University</a>, Beijing 100871, China.

Xiang Peng (X)

<sup>1</sup>State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, and Center for Quantum Information Technology, <a href="https://ror.org/02v51f717">Peking University</a>, Beijing 100871, China.

Hong Guo (H)

<sup>1</sup>State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, and Center for Quantum Information Technology, <a href="https://ror.org/02v51f717">Peking University</a>, Beijing 100871, China.

Classifications MeSH