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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.10350 |
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| _version_ | 1866918494187028480 |
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| author | Peng, Qihao Luo, Qu Gong, Tierui Ye, Neng Wu, Jizhou Pan, Cunhua Elkashlan, Maged Xiao, Pei Yuen, Chau Karagiannidis, George K. Wang, Jiangzhou |
| author_facet | Peng, Qihao Luo, Qu Gong, Tierui Ye, Neng Wu, Jizhou Pan, Cunhua Elkashlan, Maged Xiao, Pei Yuen, Chau Karagiannidis, George K. Wang, Jiangzhou |
| contents | In this paper, we develop a communication-oriented complex baseband equivalent model for superheterodyne Rydberg atomic quantum receivers (RAQRs). The model explicitly captures photodetection-induced signal-dependent shot noise and its coupling with the optical operating point. By leveraging an atomic superheterodyne architecture and a strong local oscillator, we construct a complex baseband representation for both the received signal and the signal-dependent shot noise under both direct incoherent optical detection and balanced coherent optical detection. The derived model reveals that the optical operating point jointly determines the normalized effective receive gain and the equivalent noise background, thereby establishing a traceable gain-noise tradeoff governed by system design. More importantly, the proposed model shows that neglecting signal-dependent shot noise may lead to inaccurate operating-point design. Finally, by extending to the multiple-input-multiple-output (MIMO) case, we derive a lower bound on the achievable rate while considering the signal-dependent shot noise. Our analysis \textcolor{black}{reveals} that the non-zero asymptotic rate of RAQ-MIMO and its superiority over conventional RF-MIMO hinge on the normalized noise floor of the RAQ receive chain falling below that of RF MIMO. Simulation results validate our analysis and yield practical, closed-form design guidelines for RAQR front ends, revealing parameter regimes in which RAQ-MIMO outperforms conventional MIMO systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_10350 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Signal-Dependent Shot Noise Modeling of Rydberg Atomic Quantum Receivers: A Design Perspective Peng, Qihao Luo, Qu Gong, Tierui Ye, Neng Wu, Jizhou Pan, Cunhua Elkashlan, Maged Xiao, Pei Yuen, Chau Karagiannidis, George K. Wang, Jiangzhou Signal Processing In this paper, we develop a communication-oriented complex baseband equivalent model for superheterodyne Rydberg atomic quantum receivers (RAQRs). The model explicitly captures photodetection-induced signal-dependent shot noise and its coupling with the optical operating point. By leveraging an atomic superheterodyne architecture and a strong local oscillator, we construct a complex baseband representation for both the received signal and the signal-dependent shot noise under both direct incoherent optical detection and balanced coherent optical detection. The derived model reveals that the optical operating point jointly determines the normalized effective receive gain and the equivalent noise background, thereby establishing a traceable gain-noise tradeoff governed by system design. More importantly, the proposed model shows that neglecting signal-dependent shot noise may lead to inaccurate operating-point design. Finally, by extending to the multiple-input-multiple-output (MIMO) case, we derive a lower bound on the achievable rate while considering the signal-dependent shot noise. Our analysis \textcolor{black}{reveals} that the non-zero asymptotic rate of RAQ-MIMO and its superiority over conventional RF-MIMO hinge on the normalized noise floor of the RAQ receive chain falling below that of RF MIMO. Simulation results validate our analysis and yield practical, closed-form design guidelines for RAQR front ends, revealing parameter regimes in which RAQ-MIMO outperforms conventional MIMO systems. |
| title | Signal-Dependent Shot Noise Modeling of Rydberg Atomic Quantum Receivers: A Design Perspective |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2605.10350 |