Experimental Implementation of An All-Optical Reservoir Computer Using Photonic Time Stretch and Spectral Mixing

Yuanli Yue, Shouju Liu, Yanrong Zhai, Chao Wang
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Abstract

Reservoir computing (RC) has been widely used in processing temporal information and classification tasks due to its high efficiency in training and testing. In this paper, we have experimentally demonstrated the performance of an all-optical reservoir computer based on time stretch and spectral mixing. Spectral comb lines of the stretched optical pulse are chosen as virtual nodes in the reservoir layer. Nonlinear spectral mixing is achieved through phase modulation and semiconductor optical amplification. A simple temporal waveform classification task was implemented using the demonstrated RC system to verify the approach.
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利用光子时间拉伸和光谱混合的全光储层计算机的实验实现
储层计算由于其训练和测试的高效性,在时间信息处理和分类任务中得到了广泛应用。本文通过实验验证了基于时间拉伸和光谱混合的全光储层计算机的性能。选择拉伸光脉冲的谱梳线作为储层中的虚拟节点。非线性光谱混频是通过相位调制和半导体光放大实现的。使用演示的RC系统实现了一个简单的时序波形分类任务来验证该方法。
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