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Coverage Analysis of Rydberg Atom Quantum Receiver Arrays: A Stochastic Geometry Approach

arXiv Quantum Physics
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Researchers analyzed Rydberg atomic quantum receivers (RAQRs) using stochastic geometry to evaluate their network reliability, revealing that their quantum-limited sensitivity and broadband tunability don’t always translate to better performance in dense deployments. The study derived a third-order baseband model capturing both linear gain and cubic nonlinearity in RAQRs, using Bussgang decomposition to simplify nonlinear responses into equivalent linear gain plus distortion noise. In sparse networks, RAQRs outperformed conventional receivers due to their superior sensitivity, but performance degraded in high-density base station environments where nonlinear distortion dominated. Post-maximal-ratio combining (MRC) signal-to-interference-plus-noise ratio (SINR) analysis showed that RAQR advantages diminish as interference increases, potentially making them inferior to classical receivers in crowded deployments. Simulations confirmed the tradeoff between linear gain and nonlinear distortion, highlighting the need for optimized RAQR designs to balance sensitivity and interference resilience in real-world networks.
Coverage Analysis of Rydberg Atom Quantum Receiver Arrays: A Stochastic Geometry Approach

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Quantum Physics arXiv:2605.23214 (quant-ph) [Submitted on 22 May 2026] Title:Coverage Analysis of Rydberg Atom Quantum Receiver Arrays: A Stochastic Geometry Approach Authors:Dongnan Xia, Cunhua Pan, Hong Ren, Dongsheng Sui, Qihao Peng, Jiangzhou Wang View a PDF of the paper titled Coverage Analysis of Rydberg Atom Quantum Receiver Arrays: A Stochastic Geometry Approach, by Dongnan Xia and 5 other authors View PDF HTML (experimental) Abstract:Rydberg atomic quantum receivers (RAQRs) offer quantum-limited sensitivity and broadband tunability. It is not obvious whether this device-level advantage also improves network reliability, since in dense deployments, aggregate interference can push the atomic transducer out of its small-signal regime. This paper addresses the question by embedding the RAQR front end into a stochastic geometry (SG) coverage analysis. Starting with the atomic master equation and balanced coherent optical detection, we derive a third-order complex baseband model that retains both the linear gain and the leading cubic nonlinearity. A Bussgang decomposition converts the per-element nonlinear response into an equivalent linear gain plus a distance-dependent distortion noise. Using this equivalent model, we derive the post maximal-ratio combining (MRC) SINR and obtain tractable expressions for the conditional and spatially averaged coverage probabilities. The analytical results show that RAQRs outperform conventional receivers in sparse deployments. However, when the base station (BS) density becomes large, nonlinear distortion reduces this advantage and may make RAQRs perform worse. Simulation results validate the analytical expressions and confirm that the central design tradeoff is between linear gain and cubic nonlinearity. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2605.23214 [quant-ph] (or arXiv:2605.23214v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2605.23214 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Dongnan Xia [view email] [v1] Fri, 22 May 2026 04:05:13 UTC (1,808 KB) Full-text links: Access Paper: View a PDF of the paper titled Coverage Analysis of Rydberg Atom Quantum Receiver Arrays: A Stochastic Geometry Approach, by Dongnan Xia and 5 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-05 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

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Source: arXiv Quantum Physics