A machine learning-based analysis of a reconfigurable 1x2 logic gate operated through an externally-induced metamaterial

A simulation approach, based on the beam propagation algorithm, has been used to produce a large dataset of simulations for a MMI structure, interfaced to a MOS controlled metasurface. A machine learning approach has been used to classify the MMI configuration in terms of binary digital output for a 1x2 logical gate. This proof of concept paves the way to a more complex device class, supporting the recent advances in programmable photonic integrated circuits.