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Quantum sensing for gravity cartography

Author

Listed:
  • Ben Stray

    (University of Birmingham)

  • Andrew Lamb

    (University of Birmingham)

  • Aisha Kaushik

    (University of Birmingham)

  • Jamie Vovrosh

    (University of Birmingham)

  • Anthony Rodgers

    (University of Birmingham)

  • Jonathan Winch

    (University of Birmingham)

  • Farzad Hayati

    (University of Birmingham)

  • Daniel Boddice

    (University of Birmingham)

  • Artur Stabrawa

    (University of Birmingham)

  • Alexander Niggebaum

    (University of Birmingham)

  • Mehdi Langlois

    (University of Birmingham)

  • Yu-Hung Lien

    (University of Birmingham)

  • Samuel Lellouch

    (University of Birmingham)

  • Sanaz Roshanmanesh

    (University of Birmingham)

  • Kevin Ridley

    (University of Birmingham)

  • Geoffrey Villiers

    (University of Birmingham)

  • Gareth Brown

    (Dstl, Porton Down)

  • Trevor Cross

    (Teledyne e2v)

  • George Tuckwell

    (University of Birmingham
    RSK)

  • Asaad Faramarzi

    (University of Birmingham)

  • Nicole Metje

    (University of Birmingham)

  • Kai Bongs

    (University of Birmingham)

  • Michael Holynski

    (University of Birmingham)

Abstract

The sensing of gravity has emerged as a tool in geophysics applications such as engineering and climate research1–3, including the monitoring of temporal variations in aquifers4 and geodesy5. However, it is impractical to use gravity cartography to resolve metre-scale underground features because of the long measurement times needed for the removal of vibrational noise6. Here we overcome this limitation by realizing a practical quantum gravity gradient sensor. Our design suppresses the effects of micro-seismic and laser noise, thermal and magnetic field variations, and instrument tilt. The instrument achieves a statistical uncertainty of 20 E (1 E = 10−9 s−2) and is used to perform a 0.5-metre-spatial-resolution survey across an 8.5-metre-long line, detecting a 2-metre tunnel with a signal-to-noise ratio of 8. Using a Bayesian inference method, we determine the centre to ±0.19 metres horizontally and the centre depth as (1.89 −0.59/+2.3) metres. The removal of vibrational noise enables improvements in instrument performance to directly translate into reduced measurement time in mapping. The sensor parameters are compatible with applications in mapping aquifers and evaluating impacts on the water table7, archaeology8–11, determination of soil properties12 and water content13, and reducing the risk of unforeseen ground conditions in the construction of critical energy, transport and utilities infrastructure14, providing a new window into the underground.

Suggested Citation

  • Ben Stray & Andrew Lamb & Aisha Kaushik & Jamie Vovrosh & Anthony Rodgers & Jonathan Winch & Farzad Hayati & Daniel Boddice & Artur Stabrawa & Alexander Niggebaum & Mehdi Langlois & Yu-Hung Lien & Sam, 2022. "Quantum sensing for gravity cartography," Nature, Nature, vol. 602(7898), pages 590-594, February.
  • Handle: RePEc:nat:nature:v:602:y:2022:i:7898:d:10.1038_s41586-021-04315-3
    DOI: 10.1038/s41586-021-04315-3
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    Cited by:

    1. Jongmin Lee & Roger Ding & Justin Christensen & Randy R. Rosenthal & Aaron Ison & Daniel P. Gillund & David Bossert & Kyle H. Fuerschbach & William Kindel & Patrick S. Finnegan & Joel R. Wendt & Micha, 2022. "A compact cold-atom interferometer with a high data-rate grating magneto-optical trap and a photonic-integrated-circuit-compatible laser system," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

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