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Trapped Ion Quantum Computing

Quantum Error Correction-like Noise Mitigation for Wave-like Dark Matter Searches with Quantum Sensors

arXiv
Authors: Hajime Fukuda, Takeo Moroi, Thanaporn Sichanugrist

Year

2025

Paper ID

17617

Status

Preprint

Abstract Read

~2 min

Abstract Words

141

Citations

N/A

Abstract

We propose a quantum error correction-like noise mitigation protocol for enhancing the sensitivity of wave-like dark matter searches with quantum sensors. Our protocol uses multiple sensors to mitigate the noise affecting each sensor individually, allowing for the suppression of excitation noise that is parallel to the dark matter signal. We demonstrate that our protocol can improve the sensitivity to dark matter signals by a factor of sqrt{N}, where N is the number of sensors used. Furthermore, we find that our protocol achieves the same performance as the standard quantum limit by the ideal measurement, which is impossible to achieve due to the unknown phase of the dark matter field. Our work can be widely applied to various types of signals with unknown phases, and has the potential to enhance the sensitivity of quantum sensors such as arrays of resonant cavities.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2025 reference point for readers tracking recent quantum research.
  • We propose a quantum error correction-like noise mitigation protocol for enhancing the sensitivity of wave-like dark matter searches with quantum sensors.

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