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Entanglement-enhanced optomechanical sensor array for dark matter searches

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arxiv 2210.07291 v2 pith:QOJVZOWR submitted 2022-10-13 quant-ph hep-ph

classification quant-phhep-ph
keywords mattersensorsdarkarraymechanicaloptomechanicalsensingadvantage
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

The nature of dark matter is one of the most important open questions in modern physics. The search for dark matter is challenging since, besides gravitational interaction, it feebly interacts with ordinary matter. Mechanical sensors are one of the leading candidates for dark matter searches in the low frequency region. Here, we propose entanglement-enhanced optomechanical sensing systems to assist the search for DM with mechanical sensing devices. To assess the performance of our setup, we adopt the integrated sensitivity, which is particularly suitable for broadband sensing as it precisely quantifies the bandwidth-sensitivity tradeoff of the system. We then show that, by coherently operating the optomechanical sensor array and utilizing continuous-variable multi-partite entanglement between the optical fields, the array of sensors has a scaling advantage over independent sensors (i.e., $\sqrt{M}\rightarrow M$, where $M$ is the number of sensors) as well as a performance boost due to entanglement. Such an advantage is robust to imhomogeneities of the mechanical sensors and is achievable with off-the-shelf experimental components.

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Forward citations

Cited by 2 Pith papers

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

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

    hep-ph 2025-12 accept novelty 6.0 of 10

    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. Quantum Frontiers in High Energy Physics

    hep-ph 2024-11 unverdicted

    A review of quantum sensing, quantum simulation, quantum machine learning, and collider-based quantum tests applied to open high-energy physics problems.

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