Quantum-MUSIC: Multiple Signal Classification for Quantum Wireless Sensing

TL;DR

This paper introduces Quantum-MUSIC, a novel algorithm for quantum wireless sensing that effectively detects multiple signals using magnitude-only measurements, outperforming traditional methods.

Contribution

It presents the first quantum MUSIC algorithm capable of multi-user sensing with magnitude-only data, advancing quantum wireless sensing techniques.

Findings

Quantum-MUSIC outperforms traditional MUSIC algorithms in simulations.

The algorithm successfully recovers channel information from magnitude-only measurements.

Simulation results validate the potential of quantum wireless sensing.

Abstract

This paper proposes a Quantum-MUSIC, the first multiple signal classification (MUSIC) algorithm for quantum wireless sensing of multi-user. Since an atomic receiver for quantum wireless sensing can only measure the magnitude of a received signal, sensing performance degradation of traditional antenna-based signal processing algorithms is inevitable. To overcome this limitation, the proposed algorithm recovers the channel information and incorporates the traditional MUSIC algorithm, enabling the sensing of multi-user with magnitude-only measurement. Simulation results showed that the proposed algorithm outperforms the existing MUSIC algorithm, validating the superior potential of quantum wireless sensing.