Parallel N2 weighted reconfigurable networks for optical neuron and chip-to-chip interconnects

Abstract

Various N 2 weighted reconfigurable optical networks for the optical free-space either neural network (ONN) or other chip-to-chip interconnections are proposed. With these new schemes, the large number of either electronic or optical delay lines, that were used in the previous ONN implementations, are minimized, so that the massive interconnections among monolithically intergrated either optical neurons or computing chips can be implemented. Both linearly- and circularly-distributed optical neuron (chip) interconnect models are presented. A comparison between the two interconnect models is also given.