论文标题
Fabry-Perot激光器作为平行储层计算的推动力
Fabry-Perot Lasers as Enablers for Parallel Reservoir Computing
论文作者
论文摘要
我们介绍了Fabry-Perot（FP）激光器作为具有并行处理能力的潜在神经形态计算机。在反馈下使用主FP激光器和从属FP激光器之间的光学注射，我们证明了在纵向模式粒度下扩大处理能力的潜力，并在25 GBAUD强度调制中进行信号均衡进行实时处理直接检测光通信系统。随着节点数量的增加以及同时处理任意数据流的能力，我们证明了分类性能的改善。广泛的数值模拟表明，可以利用典型的Fabry-Perot激光器中多达8种纵向模式，以增强分类性能。
We introduce the use of Fabry-Perot (FP) lasers as potential neuromorphic computing machines with parallel processing capabilities. With the use of optical injection between a master FP laser and a slave FP laser under feedback we demonstrate the potential for scaling up the processing power at longitudinal mode granularity and perform real-time processing for signal equalization in 25 Gbaud intensity modulation direct detection optical communication systems. We demonstrate the improvement of classification performance as the number of nodes increases and the capability of simultaneous processing of arbitrary data streams. Extensive numerical simulations show that up to 8 longitudinal modes in typical Fabry-Perot lasers can be leveraged so as to enhance classification performance.
