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.

翻译：我们采用Fabry-Perot(FP)激光作为具有平行处理能力的潜在的神经形态计算机器,在反馈下在主FP激光和奴隶FP激光之间使用光学注射,我们展示了在纵向模式颗粒度上扩大处理力的潜力,并在25 Gbaud 强度调制直接检测光学通信系统中进行实时处理,以达到信号均匀。随着节点数量的增加和任意数据流的同步处理能力,我们展示了分类性能的改善。广泛的数字模拟表明,在典型Fabry-Perot激光中,多达8个纵向模式可以被利用,以提高分类性能。