Practical, adaptable Photonic Quantum Convolutional Neural Networks
"process information more efficiently than classical Convolutional Neural Networks, but quantum photonic states linear, limiting flexible operations needed for neural networks... overcome injecting adaptive state making photonic circuit more adaptable, so circuit adjusts behavior based on a measurement taken during processing... either injects new photon or sends existing light forward steering computation... proof of concept: encoded 4 × 4 images of horizontal/ vertical bar patterns, >92% classification accuracy, scalable"
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