Abstract
An unsupervised physics-informed neural operator-based wavefield back-propagation scheme is proposed, which enables the full wavefield information reconstruction along the link, nonlinearity compensation (0.46 dB Q-factor gain over 1StPS DBP), and fiber parameter identification.
© 2023 The Author(s)
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