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Self-Tuning Transmitter for Quantum Key Distribution Using Machine Intelligence

  • Published:2022-09-30 Issue:3 Volume:18 Page:
  • ISSN:2331-7019
  • Container-title:Physical Review Applied
  • language:en
  • Short-container-title:Phys. Rev. Applied

Author:

Lo Y.S.,Woodward R.I.,Roger T.,Lovic V.,Paraïso T.K.,De Marco I.,Yuan Z.L.,Shields A.J.

Funder

European Union Horizon 2020 Research and Innovation Programme

EPSRC

Toshiba Europe Ltd

Publisher

American Physical Society (APS)

Subject

General Physics and Astronomy

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generalized autonomous optimization for quantum transmitters with deep reinforcement learning;Quantum Computing, Communication, and Simulation IV;2024-03-13

2. Wavelength-versatile quantum key distribution for reconfigurable classical-quantum networks;Optical Fiber Communication Conference (OFC) 2024;2024

3. Optical transmitter tunable over a 65-nm wavelength range around 1550 nm for quantum key distribution;Physical Review Applied;2023-10-16

4. Quantum Communication Technologies: Future Trends And Prospects For Innovation;2023 9th International Conference on Optimization and Applications (ICOA);2023-10-05

5. Time crystals transforming frequency combs in tunable photonic oscillators;Chaos: An Interdisciplinary Journal of Nonlinear Science;2023-04
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