A genetic-algorithm framework searches 19 photonic hybrid-network design choices and reports 99.44% (Digits) and 98.78% (MNIST) validation accuracy in simulation.
Quantum-classical convolutional neural networks in radiological image classification
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Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices
A genetic-algorithm framework searches 19 photonic hybrid-network design choices and reports 99.44% (Digits) and 98.78% (MNIST) validation accuracy in simulation.