基于光子集成芯片和soa的双层全光神经网络的首次演示

B. Shi, N. Calabretta, R. Stabile
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引用次数: 8

摘要

我们展示了第一个基于广播和加权协议的soa的由两个全光子层神经元组成的全光前馈神经网络。研究了光学非线性函数的影响,提出了采用10gbit /s二值序列进行信号处理,误差为0.21。
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First Demonstration of a Two-Layer All-Optical Neural Network by Using Photonic Integrated Chips and SOAs
We demonstrate the first all-optical feed-forward neural networks constituted by two full photonic layers of neurons based on SOAs with Broadcast and Weighting protocol. The impact of optical nonlinear function is studied and signal processing with 10 Gbit/s binary sequences is presented which results in 0.21 error.
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