A physics-guided FiLM convolutional neural network with soft OAM conservation loss reconstructs the joint radial-azimuthal modal distribution of high-dimensional SPDC entanglement at high fidelity and 128x speedup over numerical simulation.
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Learning high-dimensional quantum entanglement through physics-guided neural networks
A physics-guided FiLM convolutional neural network with soft OAM conservation loss reconstructs the joint radial-azimuthal modal distribution of high-dimensional SPDC entanglement at high fidelity and 128x speedup over numerical simulation.