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Photonic implementations of reservoir computing (RC) promise to reachultra-high bandwidth of operation with moderate training efforts. Severaloptoelectronic demonstrations reported state of the art performances for hardtasks as speech recognition, object classification and time series prediction.Scaling these systems in space and time faces challenges in control complexity,size and power demand, which can be relieved by integrated optical solutions.Silicon photonics can be the disruptive technology to achieve this goal.However, the experimental demonstrations have been so far focused on spatiallydistributed reservoirs, where the massive use of splitters/combiners and theinterconnection loss limits the number of nodes. Here, we propose and validatean all optical RC scheme based on a silicon microring (MR) and timemultiplexing. The input layer is encoded in the intensity of a pump beam, whichis nonlinearly transferred to the free carrier concentration in the MR andimprinted on a secondary probe. We harness the free carrier dynamics to createa chain-like reservoir topology with 50 virtual nodes. We give proof of conceptdemonstrations of RC by solving two nontrivial tasks: the delayed XOR and theclassification of Iris flowers. This forms the basic building block from whichlarger hybrid spatio-temporal reservoirs with thousands of nodes can berealized with a limited set of resources.

Reservoir computing based on a silicon microring and time multiplexing for binary and analog operations