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Discrete-modulated continuous-variable quantum key distribution with uncertainty principle

Jiale Mi, Yiming Bian, Song Yu, Zhengyu Li, Yichen Zhang, Hong Guo
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--> Quantum Physics arXiv:2607.20840 (quant-ph) [Submitted on 23 Jul 2026] Title:Discrete-modulated continuous-variable quantum key distribution with uncertainty principle Authors:Jiale Mi, Yiming Bian, Song Yu, Zhengyu Li, Yichen Zhang, Hong Guo View a PDF of the paper titled Discrete-modulated continuous-variable quantum key distribution with uncertainty principle, by Jiale Mi and 5 other authors View PDF HTML (experimental) Abstract:Continuous-variable quantum key distribution is a compelling framework for scalable quantum networks due to its seamless integration with existing optical communication infrastructure. However, a fundamental gap persists between theoretical protocols requiring ideal Gaussian modulation and the constrained, discrete-modulated signals dictated by practical high-speed hardware.
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Quantum Physics arXiv:2607.20840 (quant-ph) [Submitted on 23 Jul 2026] Title:Discrete-modulated continuous-variable quantum key distribution with uncertainty principle Authors:Jiale Mi, Yiming Bian, Song Yu, Zhengyu Li, Yichen Zhang, Hong Guo View a PDF of the paper titled Discrete-modulated continuous-variable quantum key distribution with uncertainty principle, by Jiale Mi and 5 other authors View PDF HTML (experimental) Abstract:Continuous-variable quantum key distribution is a compelling framework for scalable quantum networks due to its seamless integration with existing optical communication infrastructure. However, a fundamental gap persists between theoretical protocols requiring ideal Gaussian modulation and the constrained, discrete-modulated signals dictated by practical high-speed hardware. Current security proofs for discrete modulation rely on semidefinite programming, which suffers from prohibitive computational overhead for high-order constellations and lacks direct physical insight into non-Gaussian this http URL this Letter, we overcome this limitation by developing a security framework that obviates semidefinite programming in favor of an approach grounded fundamentally in the Heisenberg uncertainty principle. By introducing a multi-mode entanglement-source model to characterize non-Gaussian state preparation, we establish an explicit mapping between constellation geometry and the secret key rate. This framework effectively quantifies the security implications of hardware-limited, finite state preparation, enabling both numerical and analytical security analysis under high-order constellations. We experimentally validate our method on both discrete-component and integrated photonic platforms, demonstrating that a quadrature amplitude modulation format with 256 constellation points can asymptotically approach the Gaussian capacity limit. Beyond quantum key distribution, the principle of tightening uncertainty-constrained bounds via source-mode expansion offers a paradigm for exploring the information-theoretic properties of complex non-Gaussian systems. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2607.20840 [quant-ph] (or arXiv:2607.20840v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2607.20840 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Yi-Chen Zhang [view email] [v1] Thu, 23 Jul 2026 02:02:53 UTC (2,651 KB) Full-text links: Access Paper: View a PDF of the paper titled Discrete-modulated continuous-variable quantum key distribution with uncertainty principle, by Jiale Mi and 5 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-07 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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