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

TL;DR

This paper introduces a noise mitigation protocol inspired by quantum error correction to improve the sensitivity of wave-like dark matter searches using quantum sensors, achieving significant noise suppression and performance enhancement.

Contribution

The paper presents a novel noise mitigation protocol for quantum sensors that enhances dark matter detection sensitivity by leveraging multiple sensors and phase-insensitive measurements.

Findings

Sensitivity improved by a factor of √N with N sensors

Protocol achieves the standard quantum limit performance

Applicable to signals with unknown phases

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.