Optical neuoromorphic technologies enable neural network-based signal processing through a specifically designed hardware and may confer advantages in speed and energy. However, the advances of such technologies in bandwidth and/or dimensionality are often limited by the constraints of the underlying material. Optical fiber presents a well-studied low-cost solution with unique advantages for low-loss high-speed signal processing. The fiber echo state network analogue (FESNA), fiber-based neuromorphic processor, has been the first technology suitable for multichannel high bandwidth (including THz) and dual-quadrature signal processing. Here we propose the multidimensional FESNA (MD-FESNA) processing by utilizing multi-mode fiber non-linearity. Thus, the developed MD-FESNA is the first neuromorphic technology which augments all aforementioned advantages of FESNA with multidimensional spatio-temporal processing. We demonstrate the performance and flexibility of the technology on th...

中文翻译：

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多维光纤回波状态网络模拟

光学亚同形技术通过专门设计的硬件实现了基于神经网络的信号处理，并可能在速度和能量方面带来优势。但是，这种技术在带宽和/或维度上的进步通常受到底层材料的限制。光纤提出了一种经过充分研究的低成本解决方案，具有低损耗高速信号处理的独特优势。光纤回波状态网络模拟（FESNA）是基于光纤的神经形态处理器，它是第一种适用于多通道高带宽（包括THz）和双正交信号处理的技术。在这里，我们提出了利用多模光纤非线性的多维FESNA（MD-FESNA）处理。从而，开发的MD-FESNA是第一个神经形态技术，它通过多维时空处理增强了FESNA的所有上述优势。我们在此展示该技术的性能和灵活性。