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Recurrent Machine Learning and Computing with Nonlinear Optical Waves

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Abstract

We demonstrate that optical time-dynamics are equivalent to a recurrent neural network and that they can be trained for high-performance on complex classification tasks, paving the way for passive analog machine learning processors.

© 2020 The Author(s)

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More Like This
Machine Learning in the Optical Domain Enabled by Reservoir Computing

Stephan Pachnicke and Shi Li
T1B.3 Asia Communications and Photonics Conference (ACPC) 2020

Performance Prediction of Established Lightpaths Using Machine Learning and Field Data

Christine Tremblay
C1F_2 Conference on Lasers and Electro-Optics/Pacific Rim (CLEOPR) 2020

Convolutional Recurrent Machine Learning for OSNR and Launch Power Estimation: A Critical Assessment

Hyung Joon Cho, Siddharth Varughese, Daniel Lippiatt, and Stephen E. Ralph
M2J.5 Optical Fiber Communication Conference (OFC) 2020

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