This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …

We use a supervised machine-learning model based on a neural network to predict the
temporal and spectral intensity profiles of the pulses that form upon nonlinear propagation in …

We evaluate improvement in the performance of the optical transmission systems operating
with the continuous nonlinear Fourier spectrum by the artificial neural network equalisers …

We develop a method for retrieving a set of parameters of a quasi-periodic finite-genus
(finite-gap) solution to the focusing nonlinear Schrödinger (NLS) equation, given the solution …

Optical eigenvalues originating in optical solitons are the potential for becoming information
carriers not affected by chromatic dispersion and nonlinear effects in optical fibers. They are …

In this article, for the first time, a full-spectrum periodic nonlinear Fourier transform (NFT)-
based communication system with the inverse transformation at the transmitter performed by …

In this paper, we review the recent progress of neural network-based Kerr nonlinearity
mitigation techniques in high-speed coherent optical fiber transmission systems. Current …

In the study, we develop a new optical communication system based on the nonlinear
Fourier transform for generic (quasiperiodic) finite-genus solutions to the nonlinear …

摘要首先, 介绍了激光通信链路的优势; 然后, 基于生成对抗网络的端到端学习提高通信系统的
实时性与全局优化性. 最后, 针对该系统离线学习模式训练过程中训练集不能包含所有情况导致 …

Fibre optic infrastructure is critical to meet the high data rate and long-distance
communication requirements of modern networks. Recent developments in wireless …