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Unconditional Security Proof of Long-Distance Continuous-Variable Quantum Key Distribution with Discrete Modulation
Open accessAbstract
We present a continuous-variable quantum key distribution protocol combining a discrete modulation and reverse reconciliation. This protocol is proven unconditionally secure and allows the distribution of secret keys over long distances, thanks to a reverse reconciliation scheme efficient at very low signal-to-noise ratio.
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Cited by
Advances in quantum cryptography
Pirandola, S., Andersen, U. L., Banchi, L., Berta, M., Bunandar, D., Colbeck, R., Englund, D., Gehring, T., Lupo, C., Ottaviani, C., et al. (2020) · Advances in Optics and Photonics · doi:10.1364/aop.361502 · Cited by 2,033
Secure quantum key distribution with realistic devices
Xu, F., Ma, X., Zhang, Q., Lo, H.-K., & Pan, J.-W. (2020) · Reviews of Modern Physics · doi:10.1103/revmodphys.92.025002 · Cited by 1,543
Metadata
- Authors
- Leverrier, A., & Grangier, P.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2009-05-06
- Volume
- 102
- Issue
- 18
- Pages
- 180504-180504
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W1999183840
- Cited by
- 410
- References
- 0
- FWCI
- 14.82
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Unconditional Security Proof of Long-Distance Continuous-Variable Quantum Key Distribution with Discrete Modulation. https://app.cochat.ai/papers/10.1103/physrevlett.102.180504
- The paper
- Leverrier, A., & Grangier, P. (2009). Unconditional Security Proof of Long-Distance Continuous-Variable Quantum Key Distribution with Discrete Modulation. Physical Review Letters. https://doi.org/10.1103/physrevlett.102.180504
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
