TY - GEN
T1 - Multi-Antenna Quantum Receiver
T2 - 31st Annual International Conference on Mobile Computing and Networking, ACM MobiCom 2025
AU - He, Zhaodian
AU - Zhang, Fusang
AU - Ma, Junqi
AU - Su, Yuqi
AU - Jin, Beihong
AU - Zhang, Daqing
AU - Jiao, Yuechun
AU - Qiu, Lili
AU - Xiong, Jie
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/11/21
Y1 - 2025/11/21
N2 - Beyond communication, wireless signals have been extensively utilized for localization, tracking, and sensing in recent years. The key information extracted for these purposes includes distance and angle. While distance measurement accuracy is mainly limited by signal bandwidth, angle accuracy depends on the number of antennas and phase noise. Conventional approaches typically improve angle estimation by boosting signal strength and increasing the number of antennas. In this paper, we propose employing a quantum receiver to substantially improve angle estimation performance. Rather than amplifying signal strength, the quantum receiver reduces the inherent hardware noise. Furthermore, we exploit the unique properties of a quantum RF receiver to construct a multi-antenna quantum system. Using only two physical quantum antennas, we generate virtual antennas by leveraging the receiver’s broad frequency range, effectively increasing the number of antennas and significantly improving angle measurement performance. Our experimental results demonstrate that, with only two quantum antennas, we achieve angle estimation performance surpassing that of a conventional RF receiver equipped with 40 antennas. Furthermore, quantum antennas are not constrained by the coupling effects that typically limit the spacing between conventional RF antennas, allowing for much closer placement. This represents a significant step toward reducing the size of antenna arrays while preserving localization and tracking performance.
AB - Beyond communication, wireless signals have been extensively utilized for localization, tracking, and sensing in recent years. The key information extracted for these purposes includes distance and angle. While distance measurement accuracy is mainly limited by signal bandwidth, angle accuracy depends on the number of antennas and phase noise. Conventional approaches typically improve angle estimation by boosting signal strength and increasing the number of antennas. In this paper, we propose employing a quantum receiver to substantially improve angle estimation performance. Rather than amplifying signal strength, the quantum receiver reduces the inherent hardware noise. Furthermore, we exploit the unique properties of a quantum RF receiver to construct a multi-antenna quantum system. Using only two physical quantum antennas, we generate virtual antennas by leveraging the receiver’s broad frequency range, effectively increasing the number of antennas and significantly improving angle measurement performance. Our experimental results demonstrate that, with only two quantum antennas, we achieve angle estimation performance surpassing that of a conventional RF receiver equipped with 40 antennas. Furthermore, quantum antennas are not constrained by the coupling effects that typically limit the spacing between conventional RF antennas, allowing for much closer placement. This represents a significant step toward reducing the size of antenna arrays while preserving localization and tracking performance.
KW - Angle estimation
KW - Beamforming
KW - Frequency hopping
KW - Multi-antenna systems
KW - Quantum wireless sensing
KW - Rydberg atom
UR - https://www.scopus.com/pages/publications/105023838178
U2 - 10.1145/3680207.3765250
DO - 10.1145/3680207.3765250
M3 - Conference contribution
AN - SCOPUS:105023838178
T3 - ACM MobiCom 2025 - Proceedings of the 2025 the 31st Annual International Conference on Mobile Computing and Networking
SP - 848
EP - 862
BT - ACM MobiCom 2025 - Proceedings of the 2025 the 31st Annual International Conference on Mobile Computing and Networking
PB - Association for Computing Machinery, Inc
Y2 - 4 November 2025 through 8 November 2025
ER -