Gradient-based Quantum Neural Network Using Quantum Computing Chips

An analytic gradient algorithm for training neural networks in an 8-mode quantum photonic chip is proposed. The algorithm shows 4x faster-training speed and 3% accuracy rate enhancement than existing approaches in solving two classification tasks.