Machine learning for photonics: from computing to communication
2023 IEEE PHOTONICS SOCIETY SUMMER TOPICALS MEETING SERIES, SUM(2023)
摘要
Neural networks are effective tools for learning direct and inverse models. Here, we review two specific applications of neural networks to photonics: (i) learning accurate direct models for optical matrix multipliers and (ii) inverse modeling for short-reach fiber communication systems, enabling signal equalization.
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关键词
NN models,matrix multipliers,equalization
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