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Machine Learning in Quantum Communication

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Abstract

Phase estimation of signals below noise is a main challenge in optical quantum communication receivers. Heterodyne detection at a SNR of less than -20 dB with machine learning based optimized carrier phase estimation is demonstrated.

© 2020 The Author(s)

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