<div id="readability-page-1"><div> , /PRNewswire/ -- WiMi Hologram Cloud Inc. ( WIMI ) (&#34;WiMi&#34; or the &#34;Company&#34;), a leading global Hologram Augmented Reality (&#34;AR&#34;) Technology provider, today announced that they are researching the utilization of quantum computing to perform synthetic image generation and recognition through generative adversarial networks and convolutional neural networks, and they proposed a quantum generative adversarial network model. Compared to traditional generative adversarial network models, the quantum generative adversarial network model researched by WiMi has shorter simulation time. This benefits from the parallel processing capability of quantum computing, enabling the model to converge quickly during the training process and greatly shortening the training cycle. At the same time, this model also has lower generator and discriminator losses. Generator and discriminator losses are important indicators for measuring the performance of generative adversarial networks; the lower the loss, the closer the images generated by the generator are to real images, and the higher the accuracy of the discriminator's judgments. The quantum generative adversarial network model effectively reduces the losses of the generator and discriminator through the optimization of quantum algorithms and model structures, making the generated images possess better quality and realism. Additionally, WiMi also proposed a hybrid quantum-classical convolutional neural network model for detecting synthetic images generated by the quantum generative adversarial network model. This model combines quantum computing with classical convolutional neural networks, fully leveraging the advantages of both. In synthetic image classification tasks, accuracy and computation time are two key indicators. By utilizing the precise computational capabilities of quantum computing, the model can extract image features more accurately, thereby performing more precise classification of real images and generated synthetic images. Quantum computing has powerful potential in advancing the field of synthetic image generation and classification. With the continuous development and improvement of quantum computing technology, the quantum generative adversarial network model and hybrid quantum-classical convolutional neural network model researched by WiMi are expected to find wide applications in more fields, bringing us more exciting and efficient digital experiences. About WiMi Hologram Cloud ( WIMI ) WiMi Hologram Cloud Inc. ( WIMI ) focuses on holographic cloud services, primarily concentrating on professional fields such as in-vehicle AR holographic HUD, 3D holographic pulse LiDAR, head-mounted light field holographic devices, holographic semiconductors, holographic cloud software, holographic car navigation, metaverse holographic AR/VR devices, and metaverse holographic cloud software. It covers multiple aspects of holographic AR technologies, including in-vehicle holographic AR technology, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR virtual advertising technology, holographic AR virtual entertainment technology, holographic ARSDK payment, interactive holographic virtual communication, metaverse holographic AR technology, and metaverse virtual cloud services. WiMi is a comprehensive holographic cloud technology solution provider. For more information, please visit http://ir.wimiar.com. Translation Disclaimer The original version of this announcement is the officially authorized and only legally binding version. If there are any inconsistencies or differences in meaning between the Chinese translation and the original version, the original version shall prevail. WiMi Hologram Cloud Inc. ( WIMI ) and related institutions and individuals make no guarantees regarding the translated version and assume no responsibility for any direct or indirect losses caused by translation inaccuracies. <img width="12" height="12" src="https://imageproxy.pbkrs.com/https://edge.prnewswire.com/c/img/favicon.png/query-c2Q9MjAyNS0xMS0xNCZzbj1DTjI0OTg0?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" original-src="https://imageproxy.pbkrs.com/https://edge.prnewswire.com/c/img/favicon.png/query-c2Q9MjAyNS0xMS0xNCZzbj1DTjI0OTg0"/> View original content:https://www.prnewswire.com/news-releases/wimi-studies-quantum-generative-adversarial-network-model-and-hybrid-classification-model-302615802.html SOURCE WiMi Hologram Cloud Inc. ( WIMI ) </div></div>

微美全息

WiMi Hologram Cloud Inc. 正在研究量子計算，以利用量子生成對抗網絡和混合量子 - 經典卷積神經網絡進行合成圖像生成和識別。量子模型提供更快的模擬時間和更低的損失，從而提高圖像質量和真實感。混合模型增強了圖像分類的準確性。這些進展預計將具有廣泛的應用，提升數字體驗

微美全息正在研究量子生成對抗網絡模型以及混合分類模型