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Updated: May 24, 2025

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Adaptive cold-atom magnetometry mitigating the trade-off between sensitivity and dynamic range.

Zhu Ma1,2, Chengyin Han1,3, Zhi Tan1

  • 1Institute of Quantum Precision Measurement, State Key Laboratory of Radio Frequency Heterogeneous Integration, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.

Science Advances
|February 28, 2025
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Summary
This summary is machine-generated.

This study demonstrates adaptive cold-atom magnetometry, achieving superior sensitivity and dynamic range for magnetic field detection. The quantum sensor surpasses the standard quantum limit, paving the way for advanced quantum sensing technologies.

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Area of Science:

  • Quantum Sensing
  • Atomic Physics
  • Metrology

Background:

  • Cold-atom magnetometers offer high sensitivity and spatial resolution.
  • Improving sensitivity and dynamic range simultaneously remains a key challenge for quantum sensors.

Purpose of the Study:

  • To experimentally demonstrate an adaptive entanglement-free cold-atom magnetometry technique.
  • To achieve superior sensitivity and high dynamic range in magnetic field measurements.

Main Methods:

  • Utilized a tailored adaptive Bayesian quantum estimation algorithm for Ramsey interferometry with coherent population trapping (CPT).
  • Implemented a sequence of correlated CPT-Ramsey interferometry.
  • Employed adaptive measurement strategies leveraging real-time data.

Main Results:

  • Achieved a sensitivity of 6.8 ± 0.1 picotesla per square root of hertz over a 145.6 nanotesla range.
  • Demonstrated sensitivity surpassing the standard quantum limit with respect to total interrogation time.
  • Exceeded conventional frequentist protocols by 3.3 ± 0.1 decibels.

Conclusions:

  • The developed adaptive cold-atom magnetometry provides a significant advancement in quantum sensing.
  • This technique enables high-precision DC magnetic field detection with an enhanced dynamic range.
  • Opens new possibilities for next-generation adaptive quantum sensors by utilizing real-time measurement history.