Neuromorphic detection and cooling of microparticles in arrays

Yugang Ren (), Benjamin Siegel, Ronghao Yin, Qiongyuan Wu, Jonathan Pritchett, Muddassar Rashid and James Millen ()
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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

Nature Communications, 2025, vol. 16, issue 1, 1-8

Abstract: 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.

Date: 2025
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DOI: 10.1038/s41467-025-65677-0

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