On October 13, 2025, WiMi Hologram Cloud Inc. announced that it is actively exploring a new technology called Quantum Dilated Convolutional Neural Networks (QDCNN). The announcement, released via PRNewswire at 09:00 ET, states that QDCNN integrates quantum computing into the traditional convolutional neural network architecture, using quantum gate operations to perform convolution and pooling tasks while employing dilated convolution to expand the receptive field without increasing parameters.
QDCNN leverages the superposition and entanglement properties of qubits to perform simultaneous processing of multiple data states, thereby accelerating feature extraction and reducing computational load. The dilated convolution component further enhances the network’s ability to capture long‑range dependencies in data, improving generalization and accuracy. By combining quantum acceleration with classical post‑processing, QDCNN promises faster, more efficient deep‑learning models for complex, high‑dimensional problems.
The technology has broad implications for WiMi’s core business. In medical imaging, QDCNN could enable faster, more accurate molecular structure analysis and disease prediction, accelerating drug discovery. In intelligent transportation, it could improve traffic flow prediction and autonomous driving decisions. Environmental applications include large‑scale climate data analysis. By pioneering QDCNN, WiMi positions itself to strengthen its AI and AR offerings and gain a competitive edge in emerging markets.
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