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Highly efficient twin-field quantum key distribution with neural networks

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Acknowledgements

This work was supported by National Key R&D Program of China (Grant Nos. 2018YFA0306400, 2017YFA0304100), National Natural Science Foundation of China (Grant Nos. 12074194, U19A2075, 12104240, 62101285), Industrial Prospect and Key Core Technology Projects of Jiangsu Provincial Key R&D Program (Grant No. BE2022071), Natural Science Foundation of Jiangsu Province (Grant Nos. BK20192001, BK20210582), and Postgraduate Research & Practice Innovation Program of Jiangsu Province (Grant No. KYCX19_0951).

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Correspondence to Guigen Zeng, Xingyu Zhou or Qin Wang.

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Appendixes A–D. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Liu, J., Jiang, Q., Ding, H. et al. Highly efficient twin-field quantum key distribution with neural networks. Sci. China Inf. Sci. 66, 189402 (2023). https://doi.org/10.1007/s11432-022-3619-0

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  • DOI: https://doi.org/10.1007/s11432-022-3619-0

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