Optimized quantum sensor networks for ultralight dark matter detection

• URL: http://arxiv.org/abs/2505.21188v1
• Date: Tue, 27 May 2025 13:38:59 GMT
• Title: Optimized quantum sensor networks for ultralight dark matter detection
• Authors: Adriel I. Santoso, Le Bin Ho,
• Abstract summary: Dark matter (DM) remains one of the most compelling unresolved problems in fundamental physics.<n>We propose a network-based quantum sensor architecture to enhance sensitivity to ultralight DM fields.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Dark matter (DM) remains one of the most compelling unresolved problems in fundamental physics, motivating the search for new detection approaches. We propose a network-based quantum sensor architecture to enhance sensitivity to ultralight DM fields. Each node in the network is a superconducting qubit, interconnected via controlled-Z gates in symmetric topologies such as line, ring, star, and fully connected graphs. We investigate four- and nine-qubit systems, optimizing both state preparation and measurement using a variational quantum metrology framework. This approach minimizes the quantum and classical Cramer-Rao bounds to identify optimal configurations. Bayesian inference is employed to extract the DM-induced phase shift from measurement outcomes. Our results show that optimized network configurations significantly outperform conventional GHZ-based protocols while maintaining shallow circuit depths compatible with noisy intermediate-scale quantum hardware. Sensitivity remains robust under local dephasing noise. These findings highlight the importance of network structure in quantum sensing and point toward scalable strategies for quantum-enhanced DM detection.

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