WiMi Releases H-QNN Technology for Efficient MNIST Binary Image Classification

WiMi Hologram Cloud Inc. has announced the release of Hybrid Quantum-Classical Neural Network (H-QNN) technology for efficient MNIST binary image classification. This technology combines the expressive power of quantum computing with the mature mechanisms of classical deep learning, achieving synergistic enhancement and overcoming the limitations of high noise and limited qubit numbers in quantum hardware. H-QNN successfully achieves excellent classification performance on the MNIST handwritten digit dataset, proving the practical feasibility and computational advantages of quantum neural networks in high-dimensional image recognition tasks.