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Performance improvement of discrete-modulation continuous-variable quantum key distribution by using the machine-learning-based detector

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Abstract

The discrete-modulation continuous-variable quantum key distribution is proposed using the machine-learning-based detector to preprocess the signal before the reconciliation, which would mitigate the burden of error correction reconciliation and further improve the system performance.

© 2018 The Author(s)

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