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Entanglement-enhanced optomechanical sensor array for dark matter searches

arXiv
Authors: Anthony J. Brady, Xin Chen, Kewen Xiao, Yi Xia, Jack Manley, Mitul Dey Chowdhury, Zhen Liu, Roni Harnik, Dalziel J. Wilson, Zheshen Zhang, Quntao Zhuang

Year

2022

Paper ID

58411

Status

Preprint

Abstract Read

~2 min

Abstract Words

167

Citations

N/A

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., $sqrt{M}→ M$, 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.

Why This Paper Matters

  • It adds a 2022 reference point for readers tracking recent quantum research.
  • The nature of dark matter is one of the most important open questions in modern physics.

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