We propose a design for high (including THz) bandwidth neuromorphic signal processing based on fiber echo state network analogue and demonstrate through numerical modeling its efficiency for distortion mitigation in optical communications with high-order (including 1024-QAM) formats. This is achieved via all-optical implementation of masking and neural functionality by utilizing dispersion and nonlinear properties of the fiber. The design is flexible and format-transparent making it relevant for future communication systems. The model is simple to implement, as it requires only two attenuators and pumps in addition to a traditional nonlinear optical loop mirror (NOLM), and offers a vast range of optimization parameters.

中文翻译：

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具有高（包括太赫兹）带宽的色散管理光纤回波状态网络模拟

我们提出了一种基于光纤回波状态网络模拟的高（包括太赫兹）带宽神经形态信号处理设计，并通过数值建模证明了其在高阶（包括 1024-QAM）格式的光通信中的失真缓解效率。这是通过利用光纤的色散和非线性特性的掩蔽和神经功能的全光学实现来实现的。该设计灵活且格式透明，使其与未来的通信系统相关。该模型易于实现，因为除了传统的非线性光学环路镜 (NOLM) 外，它只需要两个衰减器和泵，并提供了广泛的优化参数。