Rydberg Atomic Quantum Receivers for Classical Wireless Communications and Sensing: Their Models and Performance

πŸ“… 2024-12-07
πŸ›οΈ arXiv.org
πŸ“ˆ Citations: 4
✨ Influential: 0
πŸ“„ PDF
πŸ€– AI Summary
The absence of a rigorous system-level model and quantitative performance characterization for Rydberg atom quantum receivers (RAQRs) impedes their integration into classical wireless communication and sensing systems. Method: This paper establishes, for the first time, an end-to-end RAQR reception scheme and its equivalent baseband signal model, introducing a unified analytical framework that jointly incorporates quantum sensing, optical detection, and RF modeling. Contribution/Results: We derive fundamental theoretical gain bounds for RAQRs relative to classical RF receivers, demonstrating β‰₯27 dB and β‰₯40 dB improvements in received signal-to-noise ratio (SNR) under photon shot-noise-limited and standard quantum-limited conditions, respectively. These results fill critical gaps in RAQR system modeling, performance quantification, and design guidance for classical infrastructure. The work provides a verifiable theoretical foundation and actionable engineering pathway toward quantum-enhanced wireless technologies.

Technology Category

Application Category

πŸ“ Abstract
The significant progress of quantum sensing technologies offer numerous radical solutions for measuring a multitude of physical quantities at an unprecedented precision. Among them, Rydberg atomic quantum receivers (RAQRs) emerge as an eminent solution for detecting the electric field of radio frequency (RF) signals, exhibiting great potential in assisting classical wireless communications and sensing. So far, most experimental studies have aimed for the proof of physical concepts to reveal its promise, while the practical signal model of RAQR-aided wireless communications and sensing remained under-explored. Furthermore, the performance of RAQR-based wireless receivers and their advantages over classical RF receivers have not been fully characterized. To fill these gaps, we introduce the RAQR to the wireless community by presenting an end-to-end reception scheme. We then develop a corresponding equivalent baseband signal model relying on a realistic reception flow. Our scheme and model provide explicit design guidance to RAQR-aided wireless systems. We next study the performance of RAQR-aided wireless systems based on our model, and compare them to classical RF receivers. The results show that the RAQR is capable of achieving a substantial received signal-to-noise ratio (SNR) gain of over $27$ decibel (dB) and $40$ dB in the photon shot limit regime and the standard quantum limit regime, respectively.
Problem

Research questions and friction points this paper is trying to address.

Developing signal models for RAQR-aided wireless communications and sensing
Characterizing performance advantages of RAQR over classical RF receivers
Achieving substantial SNR gains in quantum limit regimes
Innovation

Methods, ideas, or system contributions that make the work stand out.

Rydberg atomic quantum receivers for RF detection
End-to-end reception scheme for wireless systems
Substantial SNR gain in quantum limit regimes
πŸ”Ž Similar Papers
No similar papers found.
T
Tierui Gong
School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore 639798
Jiaming Sun
Jiaming Sun
4DV.ai
Computer Vision3D Vision
Chau Yuen
Chau Yuen
IEEE Fellow, Highly Cited Researcher, Nanyang Technological University
WirelessSmart GridLocalizationIoTBig Data
G
Guangwei Hu
School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore 639798
Y
Yufei Zhao
School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore 639798
Yong Liang Guan
Yong Liang Guan
Professor of Electrical and Electronic Engineering, Nanyang Technological University
Communication TheoryCoding Theory
Chong Meng Samson See
Chong Meng Samson See
DSO National Labs / Temasek Labs @ NTU
Statistical and Array Signal Processing
M
MΓ©rouane Debbah
Center for 6G Technology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
L
Lajos Hanzo
School of Electronics and Computer Science, University of Southampton, SO17 1BJ Southampton, U.K.