基于深度光子储备池计算机的相干信号光纤非线性补偿
Fiber Nonlinearity Compensation of Coherent Signals Using Deep Photonic Reservoir Computer
AI总结：
本研究提出用深度光子储备池计算机（PRC）实现相干16-QAM信号的非线性均衡，实验表明其可提升Q因子，且能适配不同发射功率和传输距离的信号。
AI中文摘要：
光子储备池计算机（PRC）是一种用于高速光信号处理的极具潜力的光计算框架，多项研究已证实其可用于强度调制直接检测通信链路的线性均衡。然而，相干通信链路受非线性损伤影响更严重，其非线性均衡极具挑战性。本研究在实验中展示了使用深度PRC对相干16阶正交幅度调制（16-QAM）信号进行非线性均衡，该深度PRC由级联注入锁定半导体激光器及光反馈回路构成。对于传输速率240 Gbps、发射功率12 dBm的16-QAM信号，含3个隐藏层的单通道PRC可将Q因子提升0.58 dB，含2个隐藏层的双通道PRC可将Q因子提升0.55 dB。此外，研究证明深度PRC可对不同发射功率和传输距离的16-QAM信号进行均衡。
英文摘要：
Photonic reservoir computer (PRC) is a promising optical computing framework for high-speed optical signal processing, and various reports have shown its functionality of linear equalization for intensity-modulation direct-detection communication links. However, coherent communication links suffer more from nonlinear impairment, whereas its nonlinear equalization is very challenging. Here we demonstrate the nonlinear equalization of coherent 16-level quadrature amplitude modulation (16-QAM) signals using a deep PRC in experiment. The deep PRC consists of cascading injection-locked semiconductor lasers with optical feedback loops. For 16-QAM signals with a transmission rate of 240 Gbps and a launch power of 12 dBm, the single-channel PRC with 3 hidden layers raises the Q factor by as high as 0.58 dB, while the dual-channel PRC with 2 hidden layers raises the Q factor by 0.55 dB. In addition, we prove that the deep PRC is able to equalize 16-QAM signals of different launch powers and transmission distances.
