Ultrafast silicon photonic reservoir computing engine delivering over 200 TOPS.

ABSTRACT: Reservoir computing (RC) is a powerful machine learning algorithm for information processing. Despite numerous optical implementations, its speed and scalability remain limited by the need to establish recurrent connections and achieve efficient optical nonlinearities. This work proposes a streamlined photonic RC design based on a new paradigm, called next-generation RC, which overcomes these limitations. Our design leads to a compact silicon photonic computing engine with an experimentally demonstrated processing speed of over 60 GHz. Experimental results demonstrate state-of-the-art performance in prediction, emulation, and classification tasks across various machine learning applications. Compared to traditional RC systems, our silicon photonic RC engine offers several key advantages, i

SUBMITTER: Wang D 

PROVIDER: S-EPMC11686264 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature