Photonic next generation reservoir computing based on stimulated Brillouin scattering

Ming Cheng; Xiaowen Dong

doi:10.1117/12.2691660

6 November 2023 Photonic next generation reservoir computing based on stimulated Brillouin scattering

Ming Cheng, Xiaowen Dong

Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 129213T (2023) https://doi.org/10.1117/12.2691660
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia

Abstract

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.

Citation Download Citation

Ming Cheng and Xiaowen Dong "Photonic next generation reservoir computing based on stimulated Brillouin scattering", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 129213T (6 November 2023); https://doi.org/10.1117/12.2691660

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