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.

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