Optical Reservoir Computing with Delayed Inputs Outperforms Traditional Approaches

Optical next generation reservoir computing (NGRC) driven by time-delay inputs can generate implicit polynomial features in the speckle patterns, enabling superior performance in chaotic time series forecasting and unmeasured state variable prediction compared to conventional optical reservoir computing.