WiMi Studies Hybrid Quantum Neural Network Architecture with Classical-Quantum Synergistic Innovation to Enhance Efficiency and Accuracy in Image Classification

WiMi Studies Hybrid Quantum Neural Network Architecture with Classical-Quantum Synergistic Innovation to Enhance Efficiency and Accuracy in Image Classification PR Newswire

BEIJING, Sept, 23, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announces that it is researching the application of quantum machine learning to image classification. Its researched hybrid quantum neural network architecture, through synergistic innovation between classical and quantum approaches, will enhance the efficiency and accuracy of image classification. The fusion of quantum computing and machine learning provides technical support for breakthroughs in image classification technology. The superposition property of quantum mechanics enables each qubit to carry multiple state information simultaneously, while the entanglement property realizes non-local correlations between qubits. The combination of these two grants quantum algorithms a natural parallel computing capability, allowing for an exponential reduction in computational complexity when processing high-dimensional data. Quantum machine learning (QML), as a cutting-edge field that integrates quantum mechanical principles with classical machine learning, is expected to significantly reduce computational power consumption while maintaining or even improving classification accuracy by constructing quantized feature mapping and processing mechanisms. Among them, the hybrid quantum neural network (HQNN), by virtue of its synergistic optimization of classical architectures and quantum algorithms, has become the most promising and practically deployable technical path in the NISQ era—it avoids the dependence of fully quantum neural networks on large-scale fault-tolerant quantum hardware, while fully leveraging the parallel advantages of quantum computing through the introduction of parameterized quantum circuits (PQCs).