Self-tuning quantum key distribution transmitter based on a genetic algorithm

Y. S. Lo; Y. S. Lo; R. I. Woodward; T. Roger; V. Lovic; V. Lovic; Z. L. Yuan; A. J. Shields

doi:10.1364/OFC.2022.M3I.2

Optical Fiber Communication Conference (OFC) 2022
Technical Digest Series (Optica Publishing Group, 2022),
paper M3I.2
•https://doi.org/10.1364/OFC.2022.M3I.2

Self-tuning quantum key distribution transmitter based on a genetic algorithm

Y. S. Lo, R. I. Woodward, T. Roger, V. Lovic, Z. L. Yuan, and A. J. Shields

Optical Fiber Communication Conference 2022

San Diego, California United States
6–10 March 2022
ISBN: 978-1-55752-466-9

From the session
Quantum and Neural Networks (M3I)

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Y. S. Lo, R. I. Woodward, T. Roger, V. Lovic, Z. L. Yuan, and A. J. Shields, "Self-tuning quantum key distribution transmitter based on a genetic algorithm," in Optical Fiber Communication Conference (OFC) 2022, S. Matsuo, D. Plant, J. Shan Wey, C. Fludger, R. Ryf, and D. Simeonidou, eds., Technical Digest Series (Optica Publishing Group, 2022), paper M3I.2.

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Abstract

We demonstrate a self-tuning QKD transmitter by employing a genetic algorithm for automated optimisation. Without user intervention, laser parameters are determined automatically to minimise quantum bit error rates to similar levels achieved by QKD specialists.

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