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Delay-based reservoir computing using semiconductor ring lasers

机译:使用半导体环形激光器的基于延迟的储层计算

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Delay systems subject to delayed optical feedback have recently shown great potential in solving computationally hard tasks. By implementing a neuro-inspired computational scheme relying on the transient response to optical data injection, high processing speeds have been demonstrated. However, reservoir computing systems based on delay dynamics discussed in the literature are designed by coupling many different stand-alone components which lead to bulky, lack of long-term stability, non-monolithic systems. Here we numerically investigate the possibility of implementing reservoir computing schemes based on semiconductor ring lasers as they are scalable and can be easily implemented on chip. We numerically benchmark our system on a chaotic time-series prediction task.
机译:受延迟光反馈作用的延迟系统最近在解决计算难题方面显示出巨大潜力。通过实现依赖于对光学数据注入的瞬态响应的神经启发性计算方案,已证明了高处理速度。但是,文献中讨论的基于延迟动力学的储层计算系统是通过耦合许多不同的独立组件而设计的,这些组件导致体积大,缺乏长期稳定性,非整体系统。在这里,我们从数字上研究了基于半导体环形激光器实现储层计算方案的可能性,因为它们具有可扩展性并且可以轻松地在芯片上实现。我们在混沌时间序列预测任务上对系统进行数字基准测试。

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