Photonic QNNs with two trainable parameters solve nonlinear tasks like XOR at 100% accuracy where parameter-matched ANNs fail, with hardware deployment confirming the result.
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Algorithmic Advantage on a Gate-Based Photonic Quantum Neural Network
Photonic QNNs with two trainable parameters solve nonlinear tasks like XOR at 100% accuracy where parameter-matched ANNs fail, with hardware deployment confirming the result.