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Among the promising advantages of photonic computing over conventionalcomputing architectures is the potential to increase computing efficiencythrough massive parallelism by using the many degrees of freedom provided byphotonics. Here, we numerically demonstrate the simultaneous use of time andfrequency (equivalently wavelength) multiplexing to solve three independenttasks at the same time on the same photonic circuit. In particular, we considera microring-based time-delay reservoir computing (TDRC) scheme thatsimultaneously solves three tasks: Time-series prediction, classification, andwireless channel equalization. The scheme relies on time-division multiplexingto avoid the necessity of multiple physical nonlinear nodes, while the tasksare parallelized using wavelength division multiplexing (WDM). The input datamodulated on each optical channel is mapped to a higher dimensional space bythe nonlinear dynamics of the silicon microring cavity. The carrier wavelengthand input power assigned to each optical channel have a high influence on theperformance of its respective task. When all tasks operate under the samewavelength/power conditions, our results show that the computing nature of eachtask is the deciding factor of the level of performance achievable. However, itis possible to achieve good performance for all tasks simultaneously byoptimizing the parameters of each optical channel. The variety of applicationscovered by the tasks shows the versatility of the proposed photonic TDRCscheme. Overall, this work provides insight into the potential of WDM-basedschemes for improving the computing capabilities of reservoir computingschemes.

Multi-Task Wavelength-Multiplexed Reservoir Computing Using a Silicon Microring Resonator