Photonic next generation reservoir computing based on stimulated Brillouin scattering
Ming Cheng, Xiaowen Dong · 2023
Based on the parallelism and large bandwidth, photonic neural networks have achieved large-scale matrix multiply-accumulate with strong computing capability. We propose a novel integrated photonic neural network architecture based on stimulated Brillouin scattering to implement the next generation reservoir computing. The architecture provides a new approach to artificial intelligence enabled by integrated photonics.