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Mechanical Quantum Sensing in the Search for Dark Matter

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arxiv 2008.06074 v1 pith:7MBBLKC4 submitted 2020-08-13 physics.ins-det astro-ph.COhep-exhep-phquant-ph

Mechanical Quantum Sensing in the Search for Dark Matter

classification physics.ins-det astro-ph.COhep-exhep-phquant-ph
keywords matterdarkmechanicalquantumsearchsensingtechnologiesadvances
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Numerous astrophysical and cosmological observations are best explained by the existence of dark matter, a mass density which interacts only very weakly with visible, baryonic matter. Searching for the extremely weak signals produced by this dark matter strongly motivate the development of new, ultra-sensitive detector technologies. Paradigmatic advances in the control and readout of massive mechanical systems, in both the classical and quantum regimes, have enabled unprecedented levels of sensitivity. In this white paper, we outline recent ideas in the potential use of a range of solid-state mechanical sensing technologies to aid in the search for dark matter in a number of energy scales and with a variety of coupling mechanisms.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Towards the Direct Detection of Composite Ultraheavy Dark Matter in Quantum Sensor Arrays

    hep-ph 2025-12 accept novelty 6.0

    A quantum sensor array could be sensitive to Planck-mass composite dark matter with radii around a centimeter via Yukawa forces, with a signal that scales as λ² instead of exponentially for short screening lengths.

  2. Gravitationally Induced Quantum Decoherence of Macroscopic Objects

    gr-qc 2026-06 unverdicted novelty 5.0

    Gravitational decoherence of macroscopic objects in Newtonian gravity accumulates logarithmically over distances but remains subdominant to collisional decoherence.

  3. Quantum measurements in fundamental physics: a user's manual

    hep-ph 2023-11 unverdicted novelty 2.0

    A review deriving couplings, noise spectra, SNRs, and quantum techniques like squeezing for detectors in dark matter, GW, and mechanical sensor experiments.