WiMi Studies Hybrid Quantum-Classical Convolutional Neural Network Model
WiMi Hologram Cloud Inc. - American Depositary Share (WIMI)
Company Research
Source: GlobeNewswire
BEIJING, Oct. 23, 2025 (GLOBE NEWSWIRE) -- BEIJING, Oct. 23, 2025––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are actively exploring a shallow hybrid quantum-classical convolutional neural network (SHQCNN) model, bringing innovative breakthroughs to the field of image classification.Variational quantum methods, as an important technical means in the field of quantum computing, provide effective pathways for the design and implementation of quantum algorithms by transforming the optimization problems of quantum states into classical optimization problems. WiMi has adopted an enhanced variational quantum method in the SHQCNN model, laying a solid foundation for the model's efficient operation in image classification tasks. The enhanced variational quantum method has undergone multi-faceted optimizations based on traditional methods. First, in terms of quantum state
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- WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image ClassificationGlobeNewswire
- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised LearningGlobeNewswire
- WiMi Achieves Coexistence of Lightweight Design and High Performance by Efficiently Embedding Quantum Modules into U-NetGlobeNewswire
- WiMi Releases Next-Generation Hybrid Quantum Neural Network Structure Technology, Breaking Through the Bottleneck of Image Multi-ClassificationPR Newswire
- WiMi Studies Hybrid Quantum-Classical Learning Architecture for Multi-Class Image Classification [Yahoo! Finance]Yahoo! Finance