Plasmonically Enhanced Optical Accelerator for Nonlinear Signal Processing Based on Artificial Neural Networks

We reconstruct a 48 Gbit/s nonlinearly distorted optical signal using an artificial neural network (ANN). The digital ANN execution exceeds traditional nonlinear equalizers, while its analog acceleration using plasmonic-organic-hybrid modulators surpasses conventional digital linear equalizers.