WiMi Unveils Hybrid Quantum-Classical Inception Model for Image Classification

Reuters

Feb 18

WiMi Unveils Hybrid <a href="https://laohu8.com/S/QMCO">Quantum</a>-Classical Inception Model for Image Classification

WiMi Hologram Cloud Inc. announced research results describing a new hybrid quantum-classical Inception-style neural network for image classification, combining parallel quantum, classical, and hybrid feature-extraction paths to improve performance, efficiency, and robustness. The company said experiments show the approach can outperform standard convolutional networks and single-path quantum networks, particularly on small datasets and fine-grained categories, while using fewer parameters via shallow, highly entangled quantum circuits. The results were presented as already validated through extensive experimental testing, and WiMi also said it plans future work on deeper hybrid structures, improved quantum encoding, and deployment on real quantum hardware.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. WiMi Hologram Cloud Inc. published the original content used to generate this news brief via PR Newswire (Ref. ID: 202602180800PR_NEWS_USPR_____CN90454) on February 18, 2026, and is solely responsible for the information contained therein.

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