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All-Optical Reinforcement Learning In Solitonic X-Junctions
M Alonzo1, D Moscatelli1, L Bastiani1
1Department of Fundamental and Applied Sciences for Engineering, Sapienza Università di Roma, via Scarpa 16, 00161, Roma, Italy.
Abstract:
Ethology has shown that animal groups or colonies can perform complex calculation distributing simple decision-making processes to the group members. For example ant colonies can optimize the trajectories towards the food by performing both a reinforcement (or a cancellation) of the pheromone traces and a switch from one path to another with stronger pheromone. Such ant's processes can be implemented in a photonic hardware to reproduce stigmergic signal processing. We present innovative, completely integrated X-junctions realized using solitonic waveguides which can provide both ant's decision-making processes. The proposed X-junctions can switch from symmetric (50/50) to asymmetric behaviors (80/20) using optical feedbacks, vanishing unused output channels or reinforcing the used ones.
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