Multi-Antenna Quantum Receiver: A Leap Beyond Angle Estimation Constraints

  • Zhaodian He
  • , Fusang Zhang
  • , Junqi Ma
  • , Yuqi Su
  • , Beihong Jin
  • , Daqing Zhang
  • , Yuechun Jiao
  • , Lili Qiu
  • , Jie Xiong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationACM MobiCom 2025 - Proceedings of the 2025 the 31st Annual International Conference on Mobile Computing and Networking
PublisherAssociation for Computing Machinery, Inc
Pages848-862
Number of pages15
ISBN (Electronic)9798400711299
DOIs
Publication statusPublished - 21 Nov 2025
Event31st Annual International Conference on Mobile Computing and Networking, ACM MobiCom 2025 - Hong Kong, China
Duration: 4 Nov 20258 Nov 2025

Publication series

NameACM MobiCom 2025 - Proceedings of the 2025 the 31st Annual International Conference on Mobile Computing and Networking

Conference

Conference31st Annual International Conference on Mobile Computing and Networking, ACM MobiCom 2025
Country/TerritoryChina
CityHong Kong
Period4/11/258/11/25

Keywords

  • Angle estimation
  • Beamforming
  • Frequency hopping
  • Multi-antenna systems
  • Quantum wireless sensing
  • Rydberg atom

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