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Advancing classical and quantum communication systems with machine learning

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Abstract

A perspective on how machine learning can aid the next–generation of classical and quantum optical communication systems is given. We focus on the design of Raman amplifiers and phase tracking at the quantum limit.

© 2020 The Author(s)

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