WiMi explores scalable quantum neural networks for image processing

Published 15/09/2025, 15:38
WiMi explores scalable quantum neural networks for image processing

BEIJING - WiMi Hologram Cloud Inc. (NASDAQ:WIMI), a technology company with a market capitalization of $425 million and annual revenue of $74 million, announced Monday it is exploring Scalable Quantum Convolutional Neural Networks (SQCNN) technology aimed at improving image classification accuracy. According to InvestingPro analysis, the company appears undervalued based on its Fair Value metrics.

The company reports its SQCNN model demonstrates advantages over traditional quantum neural networks through optimized qubit utilization and network architecture design for more accurate feature extraction from images. The company’s innovative approach has coincided with a notable 12% stock price increase over the past week, as tracked by InvestingPro, which offers 12 additional investment insights for WIMI.

According to the press release, the SQCNN system allows multiple independent quantum devices to extract features in parallel, potentially accelerating processing speed compared to sequential approaches in traditional machine learning. The system can also adapt to tasks of different scales by selecting appropriate quantum device sizes based on complexity requirements.

WiMi states the technology leverages quantum properties including superposition and entanglement to process multiple features simultaneously and establish more complex correlations between data points.

The company claims its SQCNN approach addresses limitations in traditional models that can produce biased classification results due to incomplete feature extraction. WiMi also reports the system offers improved model generalization across different datasets and reduced training time through quantum algorithm optimization.

WiMi Hologram Cloud describes itself as a holographic cloud technical solution provider focused on areas including holographic AR automotive applications, 3D holographic pulse LiDAR technology, and holographic semiconductor technology. The company maintains strong financial health with a current ratio of 2.7 and trades at an attractive P/E ratio of 4.2, suggesting efficient market valuation of its technological capabilities.

The announcement contains forward-looking statements about the technology’s potential capabilities and applications. Actual performance metrics or independent verification of the technology’s effectiveness were not included in the company’s statement.

In other recent news, WiMi Hologram Cloud Inc. reported its cash reserves have surged to approximately $455 million. This financial position includes around $242 million in bank cash and $212 million in Bitcoin-related securities derivatives and short-term investments. These developments reflect a strong liquidity position for the company. Additionally, WiMi has been actively exploring quantum computing approaches for multidimensional data processing. The research involves using Quantum Haar Transform and quantum partial measurement to map multidimensional data to quantum state space. In another technological advancement, WiMi is investigating quantum machine learning algorithms to enhance the efficiency of training large-scale machine learning models. This approach involves combining classical machine learning algorithms with quantum acceleration technology. WiMi’s efforts in quantum computing and machine learning demonstrate a focus on innovative solutions to improve computational efficiency.

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