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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
  • Institute of Software Chinese Academy of Sciences
  • Beihang University
  • Tsinghua University
  • Shanxi University
  • Microsoft Research Asia
  • Nanyang Technological University

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionContribution à une conférenceRevue par des pairs

Résumé

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.

langue originaleAnglais
titreACM MobiCom 2025 - Proceedings of the 2025 the 31st Annual International Conference on Mobile Computing and Networking
EditeurAssociation for Computing Machinery, Inc
Pages848-862
Nombre de pages15
ISBN (Electronique)9798400711299
Les DOIs
étatPublié - 21 nov. 2025
Evénement31st Annual International Conference on Mobile Computing and Networking, ACM MobiCom 2025 - Hong Kong, Chine
Durée: 4 nov. 20258 nov. 2025

Série de publications

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

Une conférence

Une conférence31st Annual International Conference on Mobile Computing and Networking, ACM MobiCom 2025
Pays/TerritoireChine
La villeHong Kong
période4/11/258/11/25

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