WiMi Researches Quantum Key Distribution

WiMi Hologram Cloud announced its research into applying neural networks for parameter optimization in dual-field quantum key distribution (TF-QKD) systems. The company evaluated Backpropagation Neural Network (BPNN), Radial Basis Function Neural Network (RBFNN), and Generalized Regression Neural Network (GRNN) models, finding that RBFNN and GRNN performed particularly well in high-dimensional parameter spaces. This approach aims to significantly reduce computation time and resource consumption, accelerating key generation rates and enhancing real-time responsiveness in quantum communication. WiMi Hologram Cloud plans to continue exploring advanced neural network architectures and integrating them with quantum communication hardware platforms.