Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announced the launch of their independently developed new technology: a Quantum Convolutional Neural Network for Multi-Channel Supervised Learning (MC-QCNN). This breakthrough method, for th ...

Core Insights - WiMi Hologram Cloud Inc. has developed a hybrid quantum-classical deep learning technology called QB-Net, which integrates lightweight quantum computing modules into the classical U-Net architecture, achieving a reduction in parameters by up to 30 times while maintaining comparable performance [1][9][10] Technology Overview - The core advantage of quantum computing is its ability to express high-dimensional information and perform operations in exponentially dimensional spaces, surpassing classical architectures [2] - WiMi's approach focuses on constructing quantum enhancement modules rather than fully quantized AI models, addressing the bottleneck layer of deep networks with quantum states that can express high-dimensional features efficiently [3][4] - QB-Net retains the U-Net structure but replaces traditional convolutional layers at the bottleneck with a quantum feature compression-transformation-reconstruction module, which consists of three key steps: encoding classical features into quantum states, transforming features through quantum circuits, and decoding quantum states back into classical tensors [5][8] Quantum Feature Transformation - The encoding step minimizes qubit usage while preserving key information, using techniques like linear projection or amplitude encoding [5] - The transformation step utilizes parameterized quantum circuits (PQC) to achieve expressive transformations with significantly fewer parameters compared to traditional convolutional layers [6][7] - The decoding step reconstructs the quantum measurement results into classical tensors, allowing for efficient filtering and abstraction of high-dimensional information [8] Strategic Implications - The introduction of QB-Net signifies a significant advancement in quantum AI technology, demonstrating the real value of quantum computing and its potential integration with deep learning [9] - The hybrid quantum-classical architecture is expected to become a mainstream form of AI, providing a new optimization paradigm for the global AI industry and enhancing enterprise-level intelligent systems [10]

据交易所数据显示，12月16日，微美全息(WIMI)盘中上涨2.88%，截至22:41，报2.86美元/股，成交3.74 万美元，总市值3678.06万美元。 财务数据显示，截至2024年12月31日，微美全息收入总额5.42亿人民币，同比减少7.42%；归母净利润 7164.15万人民币，同比增长117.01%。 资料显示，微美全息公司是一家在开曼群岛注册成立的境外控股母公司,主要通过其境内实体子公司北 京微美云息软件有限公司进行运营。 WiMi微美全息专注于计算机视觉全息云服务,为中国规模、覆盖产业链、业绩等方面较优秀的全息云产 业综合实体之一,目标成为有潜力、有国际影响力的全息云平台。 WIMI微美全息覆盖从全息计算机视觉AI合成、全息视觉呈现、全息互动软件开发、全息AR线上及线下 广告投放、全息ARSDK支付、5G全息通讯软件开发、全息人脸识别开发、全息AI换脸开发等全息AR 技术的多个环节,具有一站式服务能力。目前已成长为中国最大的全息云综合技术方案提供商之一。 WIMI微美全息在广告、娱乐、教育、5G通讯等全息应用领域取得重大突破与跨越式发展,旨在全息3D 计算机视觉采集、AI合成、传输、呈现、应 ...

Core Viewpoint - WiMi Hologram Cloud Inc. is advancing its research in image classification through the development of a shallow hybrid quantum-classical convolutional neural network (SHQCNN) model, which integrates innovative quantum computing techniques to enhance performance in this field [1][4]. Group 1: SHQCNN Model Development - The SHQCNN model utilizes an enhanced variational quantum method, optimizing traditional approaches to improve efficiency in image classification tasks [2]. - The model employs a kernel encoding method in the input layer, which enhances data distinction by mapping original image data from low-dimensional to high-dimensional feature space [3]. - Variational quantum circuits are designed in the hidden layer to reduce computational complexity while effectively extracting image features [3]. Group 2: Training and Optimization Techniques - The output layer of the SHQCNN model uses a mini-batch gradient descent algorithm, which improves parameter training speed and model adaptability to changes in training data [4]. - The integration of advanced technologies such as enhanced variational quantum methods, kernel encoding, variational quantum circuits, and mini-batch gradient descent contributes to the model's stability, accuracy, and generalization capabilities [4]. Group 3: Future Potential - The continuous development of quantum computing technology and the expansion of application scenarios suggest that the SHQCNN model will have significant potential across various fields beyond image classification [4].

Core Viewpoint - WiMi Hologram Cloud Inc. has developed a disruptive single-qubit quantum neural network technology that integrates quantum computing with artificial intelligence, addressing the limitations of traditional neural networks in multi-class classification tasks [1][4]. Group 1: Technology Development - The single-qubit quantum neural network technology (SQ-QNN) demonstrates the feasibility of high-dimensional quantum systems for efficient learning, providing a pathway for deep integration of quantum computing and AI [1][3]. - This technology addresses the challenges of training large neural networks, which often require billions of parameters and significant data center resources, leading to high power consumption and costs [2][3]. Group 2: Quantum Neural Network Advantages - Quantum Neural Networks (QNN) utilize qubits and quantum multi-level systems to represent high-dimensional data spaces, overcoming the resource limitations of classical computing [3]. - Compared to traditional deep learning, QNN can achieve complex mappings with shallow quantum circuits, enhancing model compactness and computational efficiency [3][4]. Group 3: Implementation Details - The SQ-QNN technology uses a single high-dimensional qudit to handle multi-class classification tasks, simplifying the model structure compared to classical neural networks [5][6]. - Each category corresponds to a dimension of the quantum system, and the classification process is executed through a high-dimensional unitary operator, reducing circuit depth and training overhead [6][8]. Group 4: Training Methodology - WiMi's technology incorporates a hybrid training method that combines extended activation functions with Support Vector Machine (SVM) optimization, enhancing the network's nonlinear representational capabilities [7][10]. - The training framework allows for efficient parameter optimization and quick convergence to global optimal solutions, effectively sharing the burden on quantum hardware [10][11]. Group 5: Company Overview - WiMi Hologram Cloud Inc. specializes in holographic cloud services, focusing on various applications such as in-vehicle AR holographic HUD, 3D holographic pulse LiDAR, and metaverse holographic technologies [12].

Core Viewpoint - WiMi Hologram Cloud Inc. is actively exploring Quantum Dilated Convolutional Neural Networks (QDCNN) technology, which aims to overcome the limitations of traditional convolutional neural networks (CNNs) in processing complex data and high-dimensional problems, potentially leading to advancements in various fields such as image recognition, data analysis, and intelligent prediction [1][3]. Group 1: Traditional CNN Limitations - Traditional CNNs face bottlenecks in computational efficiency and feature extraction capabilities due to the explosive growth of data volume and increasing problem complexity [2]. - The architecture of traditional CNNs includes convolutional layers, pooling layers, and fully connected layers, which automatically extract features from large datasets [2]. Group 2: Quantum Computing Integration - QDCNN technology integrates quantum computing advantages into traditional CNN architecture, utilizing quantum processors for certain computational operations, which significantly accelerates feature extraction [3][4]. - Quantum computing allows for parallel processing of multiple data states, enhancing the network's ability to capture complex relationships within the data [3][5]. Group 3: Enhanced Feature Extraction - QDCNN not only extracts features obtainable by traditional CNNs but also reveals hidden quantum-level feature information, improving generalization capabilities and reducing overfitting when encountering new data [5][6]. - The use of dilated convolution technology in QDCNN expands the receptive field of the convolution kernel, allowing for better contextual information acquisition without increasing parameters [4]. Group 4: Future Development and Applications - WiMi plans to optimize data transmission and task scheduling between quantum and classical computing to enhance overall operational efficiency [6]. - QDCNN technology is expected to find applications in various fields, including medical research for drug development, intelligent transportation for traffic prediction, and environmental protection for climate change analysis [7][8]. Group 5: Company Overview - WiMi Hologram Cloud Inc. focuses on holographic cloud services, covering areas such as in-vehicle AR holographic HUD, 3D holographic pulse LiDAR, and metaverse holographic AR/VR devices [9].

Financial Performance - Total operating revenues for the six months ended June 30, 2025, were RMB 188,240,855, a decrease of 35.3% compared to RMB 290,815,771 in the same period of 2024[5] - Gross profit for the six months ended June 30, 2025, was RMB 52,095,196, resulting in a gross margin of 27.7%[5] - Net income attributable to WIMI Hologram Cloud, Inc. for the six months ended June 30, 2025, was RMB 106,297,786, compared to RMB 7,663,918 in the same period of 2024, representing a significant increase[5] - The company reported a comprehensive income of RMB 109,147,739 for the six months ended June 30, 2025, compared to a comprehensive loss of RMB 42,429,344 in the same period of 2024[5] - Net income for the six months ended June 30, 2025, was RMB 126,273,050, a significant increase from RMB 12,288,585 in the same period of 2024[9] - Cash provided by operating activities for the six months ended June 30, 2025, was RMB 213,669,364, compared to RMB 150,230,330 in 2024, reflecting a growth of approximately 42%[9] - Basic earnings per share for the six months ended June 30, 2025, were RMB 10.32, compared to RMB 0.78 for the same period in 2024[6] Assets and Liabilities - Total current assets as of June 30, 2025, were RMB 3,327,364,606, an increase of 65.3% from RMB 2,013,304,853 as of December 31, 2024[2] - Total liabilities decreased to RMB 972,862,068 as of June 30, 2025, from RMB 767,423,442 as of December 31, 2024, indicating improved financial stability[2] - The company’s cash and cash equivalents increased to RMB 1,959,991,776 as of June 30, 2025, up from RMB 1,070,513,011 as of December 31, 2024, reflecting a strong liquidity position[2] - The company’s total shareholders' equity increased to RMB 2,425,749,494 by June 30, 2025, compared to RMB 872,469,629 in June 30, 2024, showing robust growth[9] - As of June 30, 2025, total property, plant, and equipment, net amounted to RMB 58,339,212 (USD 8,149,529), down from RMB 125,811,741 (USD 17,646,000) as of December 31, 2024, reflecting a significant decrease[135] Investments and Capital - Short-term investments increased to RMB 1,229,636,750 as of June 30, 2025, up from RMB 847,927,125 at the end of 2024[132] - Gain from sales of investments amounted to approximately RMB 29,784,104 (USD 4,160,605) for the six months ended June 30, 2025[133] - Capital contribution from noncontrolling interests increased to RMB 541,913,983 in 2024, indicating strong investor confidence[9] - The company’s total additional paid-in capital rose to RMB 2,226,171,080 by June 30, 2025, compared to RMB 1,651,937,055 in June 30, 2024[9] Research and Development - Research and development expenses for the six months ended June 30, 2025, were RMB 33,470,081, a decrease of 55.8% compared to RMB 75,820,156 in the same period of 2024[5] - The company’s stock compensation expenses for the six months ended June 30, 2025, amounted to RMB 22,189,939, reflecting ongoing investment in employee incentives[9] Revenue Recognition - The Company recognizes revenue from AR advertising display services at a point in time when the related services have been delivered, based on specific contract terms[80] - The Company follows a five-step model for revenue recognition, which did not result in significant changes in the way revenue is recorded compared to previous guidance[79] - The Company recognizes revenue when an end user completes a transaction, with service fees generally billed monthly on a per transaction basis[85] Joint Ventures and Subsidiaries - On August 21, 2020, Wimi HK established a joint venture, VIDA Semicon Co., Limited, with a 53% equity interest to develop holographic AR technologies in the semiconductor industry[17] - On April 15, 2021, Wimi HK set up another joint venture, Viru Technology Limited, holding a 55% equity interest to focus on AR services[18] - VIYI Technology Inc. was established on September 24, 2020, to accelerate AI algorithm and cloud computing services development[20] - VIYI acquired 100% equity of Fe-da Electronics on September 28, 2020, to enhance its computer chip and intelligent chip business[21] Risks and Concentration - One customer accounted for 13.50% of total revenues for the six months ended June 30, 2025, while another accounted for 11.23%, indicating increased customer concentration risk[155] - For the six months ended June 30, 2025, three vendors accounted for 16.62%, 12.67%, and 11.45% of total purchases, highlighting vendor concentration risk[156] Tax and Compliance - The company reported a current income tax credit of RMB (2,290,252) (USD 319,930) for the six months ended June 30, 2025, compared to RMB (457,941) for the same period in 2024[146] - The company has a deferred tax asset of RMB 440,346 (USD 61,513) as of June 30, 2025, which reflects the allowance for expected credit loss[147] Other Financial Metrics - The company reported a foreign currency translation adjustment loss of RMB 17,125,311 for the six months ended June 30, 2025[5] - The company experienced a foreign currency translation loss of RMB 17,125,311 for the six months ended June 30, 2025[10] - The average translation rates applied to statement of income accounts for the six months ended June 30, 2025, were RMB 1.00 to USD 0.1392[64]

Group 1: Microsoft AI Developments - Microsoft has launched two self-developed AI models: MAI-Voice-1 and MAI-1-preview, marking a significant breakthrough in its AI research [1] - The MAI-Voice-1 model can generate up to one minute of audio content using a single GPU, showcasing its potential in various applications such as real-time news reporting and podcast-style conversations [1] - The MAI-1-preview model is currently in public testing on the LMArena platform and aims to enhance the capabilities of the Copilot assistant, reducing reliance on OpenAI's large language models [1] Group 2: Google DeepMind Innovations - Google DeepMind has introduced the Gemini 2.5 Flash image editing model, which can accurately modify images based on text instructions while maintaining consistency in the appearance of characters and animals [2] - Gemini 2.5 Flash has shown significant improvements in image modification accuracy compared to previous tools and even outperforms the GPT-4 model in several tasks [2][4] Group 3: Apple's AI Acquisition Interests - Apple executives are reportedly in discussions to acquire Mistral, the largest AI startup in Europe, which has raised substantial funding through multiple financing rounds [4] - A successful acquisition would significantly enhance Apple's capabilities and innovation in the AI sector [4] Group 4: WIMI's AI Innovations - WIMI has established a competitive edge in the AI field through an integrated "hardware + software + platform" approach, accelerating the implementation of AI algorithms [6] - The company focuses on combining multimodal large models with spatial computing technology, enabling the native integration of text, images, audio, and video [6] - WIMI is building an open-source ecosystem by providing model codes, computing interfaces, and technical toolchains, facilitating secondary development and commercial validation of vertical models [6]

Group 1 - The core viewpoint of the articles highlights WiMi Hologram Cloud's significant growth in net profit despite a decrease in total revenue, indicating a strong operational efficiency and profitability focus [1][2][3] - As of August 22, WiMi's stock price increased by 2.94% to $3.85 per share, with a total market capitalization of approximately $37.81 million [1] - Financial data shows that for the year ending December 31, 2024, WiMi's total revenue is projected to be 542 million RMB, a year-on-year decrease of 7.42%, while the net profit attributable to shareholders is expected to be 71.64 million RMB, reflecting a year-on-year increase of 117.01% [1] Group 2 - WiMi Hologram Cloud has made significant breakthroughs in various fields such as advertising, entertainment, education, and 5G communications, focusing on deep research and market application of holographic 3D computer vision [2] - The company aims to build a strong and open service platform that bridges the application of holographic technology and computer vision presentation, promoting cross-industry development [2] - WiMi's vision is to become the creator of the holographic ecosystem in China, emphasizing its commitment to advancing the industry [2]

Group 1 - The core viewpoint of the articles highlights WiMi Hologram Cloud's significant growth in net profit despite a decrease in total revenue, indicating a strong operational efficiency and potential for future profitability [1][2][3] - As of December 31, 2024, WiMi Hologram Cloud is projected to have a total revenue of 542 million RMB, representing a year-on-year decrease of 7.42%, while the net profit attributable to the parent company is expected to reach 71.64 million RMB, showing a year-on-year increase of 117.01% [1] - WiMi Hologram Cloud is recognized as one of the largest comprehensive technology solution providers in China's holographic cloud industry, focusing on various aspects of holographic AR technology, including AI synthesis, visual presentation, and software development [1][2] Group 2 - The company has made significant breakthroughs in various holographic application fields such as advertising, entertainment, education, and 5G communications, aiming for deep research and market application across all stages of holographic 3D computer vision [2] - WiMi Hologram Cloud is committed to building a strong and open service platform that bridges the application of holographic technology and computer vision presentation, promoting cross-industry development [2] - The company's vision is to become the creator of the holographic ecosystem in China, reflecting its ambition to lead in the holographic technology space [2]