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Wavelength Diversity Expands the Expressive Power of Optical Computing

Chen, Shiqi et al.
arXiv (All) · Papers
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applied-physicsneural-and-evolutionary-computingoptics
Universal function approximation underpins neural networks' capacity to represent nonlinear relationships, but realizing this capability in optical hardware requires engineering the computational features encoded in light. Here, we show that wavelength diversity enhances optical function-approximati
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