Photonic reservoir computing with complex networks
The study experimentally and numerically tested how different network structures—specifically small-world and scale-free networks—affect photonic reservoir computing performance. Findings show that small-world networks provide the maximum memory capacity and best prediction accuracy. Performance optimization depends on tuning network parameters like rewiring probability based on the specific task.