MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification
MicroCloud Hologram Inc. - Ordinary Shares (HOLO)
Company Research
Source: GlobeNewswire
SHENZHEN, China, Oct. 24, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and successfully applied it to the multi-class classification problem on the MNIST dataset, achieving accuracy comparable to classical Convolutional Neural Networks (CNNs). This achievement not only demonstrates the practical feasibility of quantum computing in machine learning tasks but also provides a new pathway for application exploration in the subsequent NISQ (Noisy Intermediate-Scale Quantum) era. The multi-class classification problem is one of the most common tasks in computer vision and artificial intelligence applications. Whether in image recognition, handwritten digit recognition, traffic sign detection, medical image analysis, or natural scene understanding, multi-class classification algorithms play an irreplaceable role. C
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