We experimentally demonstrate the world’s first field-programmable gate-array-based real-time fiber nonlinearity compensator (NLC) using sparse K-means++ machine learning clustering in an energy-efficient 40-Gb/s 16-quadrature amplitude modulated self-coherent optical system. Our real-time NLC shows up to 3 dB improvement in Q-factor compared to linear equalization at 50 km of transmission.

中文翻译：

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高能效相干光网络中基于实时机器学习的光纤感应非线性补偿

我们以稀疏的K-means ++机器学习群集在节能的40 Gb / s 16正交调幅自相干光中实验性地证明了世界上第一个基于现场可编程门阵列的实时光纤非线性补偿器（NLC）系统。与50 km传输时的线性均衡相比，我们的实时NLC显示Q因子最多提高3 dB。