GHz-Rate Neuromorphic Photonic Spiking Neural Network with a Vertical-Cavity Surface-Emitting Laser

Dafydd Owen-Newns, M. Hejda, Antonio Hurtado, J. Robertson
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Abstract

We report a high-speed (GHz rate) and hardware-friendly Neuromorphic Photonic Spiking Neural Network (pSNN) architecture formed by up to >1000 spiking nodes and built with a single off-the-shelf telecom Vertical-Cavity Surface Emitting Laser (VCSEL). We demonstrate the successful application of the proposed pSNN architecture to a complex nonlinear classification task, running at sub-nanosecond speeds per spike directly in the optical domain.
基于垂直腔面发射激光器的ghz速率神经形态光子脉冲神经网络
我们报告了一种高速(GHz速率)和硬件友好的神经形态光子峰值神经网络(pSNN)架构,该架构由多达1000个峰值节点组成,并使用单个现成的电信垂直腔表面发射激光器(VCSEL)构建。我们演示了pSNN架构在复杂非线性分类任务中的成功应用,该架构直接在光域中以亚纳秒的速度运行。
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