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6CCVD Research

Robust sensing via the standard deviation with a quantum sensor

At a Glance

Section titled ā€œAt a Glanceā€
MetadataDetails
Publication Date2024-11-01
JournalAPL Quantum
AuthorsErnst David Herbschleb, So Chigusa, Riku Kawase, Hiroyuki Kawashima, M. Hazumi
InstitutionsLawrence Berkeley National Laboratory, Japan Aerospace Exploration Agency
Citations2

Abstract

Section titled ā€œAbstractā€

Quantum sensing has a bright future for applications in need of impeccable sensitivities. The study of periodic fields has resulted in various techniques, which deal with the limited coherence time of the quantum sensor in several ways. However, the periodic signal to measure could include forms of randomness as well, such as changes in phase or in frequency. In such cases, long measurement times required to detect the smallest of field amplitudes hamper the effectiveness of conventional techniques. In this paper, we propose and explore a robust sensing technique to combat this problem. For the technique, instead of measuring the signal amplitude directly, we measure another global property of the signal, in this case the standard deviation. This results in a much-improved sensitivity. We analyze the advantages and limitations of this technique, and we demonstrate the working with a measurement using a nitrogen-vacancy center. This work encourages scouting measurements of alternative statistics.

Tech Support

Section titled ā€œTech Supportā€

Original Source

Section titled ā€œOriginal Sourceā€

References

Section titled ā€œReferencesā€
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  3. 2015 - Nanometre-scale probing of spin waves using single electron spins [Crossref]
  4. 2016 - Optical magnetic detection of single-neuron action potentials using quantum defects in diamond [Crossref]
  5. 2020 - Imaging viscous flow of the Dirac fluid in graphene [Crossref]
  6. 1950 - Spin echoes [Crossref]
  7. 2001 - Principles of Pulse Electron Paramagnetic Resonance
  8. 2021 - Ultra-high dynamic range quantum measurement retaining its sensitivity [Crossref]
  9. 2011 - Advanced Engineering Mathematics
  10. 2022 - Sensing of arbitrary-frequency fields using a quantum mixer [Crossref]

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