WiMi Studies Quantum Generative Adversarial Network Model and Hybrid Classification Model

Rhea-AI Summary

WiMi (NASDAQ:WIMI) announced research into a quantum generative adversarial network (QGAN) and a hybrid quantum-classical convolutional neural network for synthetic image generation and detection on November 14, 2025.

The company says the QGAN yields shorter simulation and training time and lower generator and discriminator losses versus traditional GANs, and the hybrid model pairs quantum computing with classical CNNs to improve feature extraction and classification accuracy for real vs. synthetic images.

The release frames these models as research-stage advancements that could expand applications as quantum hardware and algorithms improve.

BEIJING, Nov. 14, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") 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 Hologram Cloud Inc. (NASDAQ: 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. 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.

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SOURCE WiMi Hologram Cloud Inc.

FAQ

What did WiMi announce about quantum GAN research on November 14, 2025 for WIMI?

WiMi announced research into a quantum generative adversarial network and a hybrid quantum-classical CNN for synthetic image generation and detection.

How does WiMi say the quantum generative adversarial network (WIMI) compares to traditional GANs?

WiMi states the QGAN has shorter simulation and training time and lower generator and discriminator losses compared to traditional GANs.

What purpose does WiMi claim for the hybrid quantum-classical CNN (WIMI)?

WiMi says the hybrid model combines quantum computing and classical CNNs to extract image features more accurately and improve classification of real versus synthetic images.

Does WiMi provide quantified performance metrics for the quantum models in the November 14, 2025 announcement?

No; the announcement describes relative improvements in time and losses but does not provide numeric performance metrics.

What potential applications does WiMi suggest for its quantum GAN and hybrid models (WIMI)?

WiMi suggests the models could find wider applications in synthetic image generation and classification as quantum technology develops.