Neuromorphic computing by means of recurrent spectrum slicing for next generation high baud rate transmission systems

In this paper we review our recent work in photonic neural networks based on recurrent optical spectrum slicing as potential accelerators for the mitigation of transmission impairments in short reach, high symbol rate (>100 Gbaud) transmission systems. Results will focus on self-coherent receiver architectures.