Photonic reservoir computing with complex networks
Photonic reservoir computing has attracted increasing attention as a fast and low-cost approach for time-series prediction. Photonic reservoir computing utilizes the high speed, broad bandwidth, and spatial parallelism of light. However, the effect of the internal connection structure (network topology) on the computing performance has not been investigated for large-scale photonic reservoirs. In this study, we experimentally and numerically demonstrate photonic reservoir computing using a spatial light modulator to systematically evaluate the relationship between the network topology and the performance of reservoir computing. We introduce complex network structures such as small-world a...
| Authors | Sion Park, Kohei Watabe, Satoshi Sunada et al. |
|---|---|
| Primary category | physics.optics |
| Published | 25 July 2026 |
| Last updated at source | 13 October 2026 |
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