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Optical Reservoir Computing with Structural Nonlinearity for Forecasting Chaotic Time Series
Optical computing offers a promising route to high-speed, energy-efficient information processing. However, implementing nonlinear operations typically requires strong light-matter interactions. Here, we introduce structural nonlinearity into an optical reservoir computing architecture, using only l
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