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Conferences > OFC > 2023 > M2E > M2E.4

KerrNet: Machine Learning to Speed up Exact Nonlinear Variance Computation of Arbitrary Links

Xiaoyan Ye and Amirhossein Ghazisaeidi

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Abstract

We introduce a new QoT tool handling arbitrary transmission configurations based on neural networks, accelerating exact models for nonlinear variance: the computation time is reduced by six orders of magnitude while accuracy is not compromised.

© 2023 The Author(s)

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