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Neuromorphic detection and cooling of microparticles in arrays

Author

Listed:
  • Yugang Ren

    (King’s College London, Department of Physics)

  • Benjamin Siegel

    (Yale University, Wright Laboratory, Department of Physics)

  • Ronghao Yin

    (King’s College London, Department of Physics)

  • Qiongyuan Wu

    (King’s College London, Department of Physics)

  • Jonathan Pritchett

    (King’s College London, Department of Physics)

  • Muddassar Rashid

    (King’s College London, Department of Physics)

  • James Millen

    (King’s College London, Department of Physics
    King’s College London, London Centre for Nanotechnology, Department of Physics)

Abstract

Micro-objects levitated in a vacuum are an exciting platform for precision sensing due to their low dissipation motion and the potential for control at the quantum level. Arrays of such sensors would offer increased sensitivity, directionality, and in the quantum regime the potential to exploit correlation and entanglement. We use neuromorphic detection via a single event based camera to record the motion of an array of levitated microspheres. We present a scalable method for arbitrary multiparticle tracking and control by implementing real-time feedback to simultaneously cool the motion of three uncoupled objects, a demonstration of neuromorphic sensing for real-time control at the microscale.

Suggested Citation

  • Yugang Ren & Benjamin Siegel & Ronghao Yin & Qiongyuan Wu & Jonathan Pritchett & Muddassar Rashid & James Millen, 2025. "Neuromorphic detection and cooling of microparticles in arrays," Nature Communications, Nature, vol. 16(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-65677-0
    DOI: 10.1038/s41467-025-65677-0
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