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WiMi develops quantum computing simulation model with hybrid architecture

Wed, 30 Sep 2026 11:28:10 -0400

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) announced it is developing a quantum computing simulation model based on a hybrid parallel architecture, according to a company press release dated Sept. 30, 2026.

The model uses a CPU-GPU heterogeneous collaboration framework and is designed to address limitations in computing power, storage, and scalability found in traditional quantum simulation systems. It is integrated with high-performance computing (HPC) technology.

A key feature of the model is an intelligent resource scheduling mechanism that dynamically allocates CPU and GPU resources based on real-time task demands. The system is designed to be hardware-agnostic, meaning it can operate across multiple

WiMi Researches Quantum Computing Simulation Model Based on Hybrid Parallel Architecture

Wed, 30 Sep 2026 11:25:00 -0400

BEIJING, Sept. 30, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WIMI" or the "Company"), a leading global technology provider focused on core issues in quantum computing simulation and specializing in high-performance quantum simulation technology, is developing a quantum computing simulation model based on a hybrid parallel architecture. By optimizing the classical hybrid architecture with CPU-GPU heterogeneous collaboration, the model reconstructs the computational logic of quantum simulation, breaks through the bottlenecks in computing power,

WiMi Researches Quantum Computing Simulation Model Based on Hybrid Parallel Architecture

Wed, 30 Sep 2026 11:25:00 -0400

WiMi researches hybrid quantum neural network for image classification

Wed, 23 Sep 2026 09:01:23 -0400

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) announced it is researching the application of quantum machine learning to image classification, according to a company press release.

The Beijing-based company said its hybrid quantum neural network (HQNN) architecture combines classical convolutional layers with parallel parameterized quantum circuits (PQCs) to process image data. The architecture is designed to operate within the constraints of current noisy intermediate-scale quantum (NISQ) hardware, which faces limitations including a restricted number of qubits and noise interference.

The architecture consists of two core modules: a classical convolutional block and a hybrid dense section. The classical convolutional block handles feature extraction and

WiMi researches hybrid quantum neural network for image classification

Wed, 23 Sep 2026 09:01:23 -0400

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) announced it is researching the application of quantum machine learning to image classification, according to a company press release.

The architecture consists of two core modules: a classical convolutional block and a hybrid dense section. The classical convolutional block handles feature extraction and

WiMi Studies Hybrid Quantum Neural Network Architecture with Classical-Quantum Synergistic Innovation to Enhance Efficiency and Accuracy in Image Classification

Wed, 23 Sep 2026 09:00:00 -0400

BEIJING, Sept, 23, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announces that it is researching the application of quantum machine learning to image classification. Its researched hybrid quantum neural network architecture, through synergistic innovation between classical and quantum approaches, will enhance the efficiency and accuracy of image classification. The fusion of quantum computing and machine learning provides technical support for

WiMi Studies Hybrid Quantum Neural Network Architecture with Classical-Quantum Synergistic Innovation to Enhance Efficiency and Accuracy in Image Classification

Wed, 23 Sep 2026 09:00:00 -0400

WiMi proposes quantum encoding circuit system using reinforcement learning

Thu, 17 Sep 2026 10:40:31 -0400

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) has proposed a quantum encoding circuit generation scheme that uses reinforcement learning to automate the design of circuit architectures for quantum machine learning models, according to a company statement.

The Beijing-based company says the system uses a model-based reinforcement learning strategy that builds an environment model to predict circuit performance, removing the need to evaluate every candidate circuit on actual quantum hardware. The company says this approach reduces quantum resource consumption and improves search efficiency.

The proposed architecture incorporates a hierarchical circuit structure that breaks encoding circuits into multiple levels of basic modules. A reinforcement learning

WiMi proposes quantum encoding circuit system using reinforcement learning

Thu, 17 Sep 2026 10:40:31 -0400

The proposed architecture incorporates a hierarchical circuit structure that breaks encoding circuits into multiple levels of basic modules. A reinforcement learning

WiMi Studies Quantum Encoding Circuit Adaptation Optimization Architecture Based on Reinforcement Learning

Thu, 17 Sep 2026 10:40:00 -0400

BEIJING, Sept. 17, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, leverages the interdisciplinary technology of quantum computing and machine learning to propose a specific problem encoding circuit generation scheme based on reinforcement learning technology, breaking the limitations of traditional heuristic design and providing an innovative technical path for improving the performance of QML models. This scheme takes task adaptability optimization

WiMi Studies Quantum Encoding Circuit Adaptation Optimization Architecture Based on Reinforcement Learning

Thu, 17 Sep 2026 10:40:00 -0400

Form 6-K WiMi Hologram Cloud Inc. For: Jun 30

Thu, 17 Sep 2026 08:44:00 -0400

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WiMi proposes quantum convolutional neural network for data tasks

Fri, 21 Aug 2026 10:40:30 -0400

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) has proposed a quantum convolutional neural network designed for classical data classification tasks, according to a company statement.

The system uses a hybrid quantum-classical architecture. Classical data is first mapped into quantum state space through an encoding strategy, then processed through alternating quantum convolutional layers and what the company calls "interaction layers" built on three-qubit interactions.

WiMi says the interaction layers expand the range of reachable states in the network's parameter space, addressing what it describes as an expressivity limitation common in traditional quantum neural networks. The company also claims the three-qubit interaction layer generates multi-scale

WiMi proposes quantum convolutional neural network for data tasks

Fri, 21 Aug 2026 10:40:30 -0400

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) has proposed a quantum convolutional neural network designed for classical data classification tasks, according to a company statement.

WiMi's Next-Generation Quantum Convolutional Neural Network Reshapes Classical Data Classification Methods

Fri, 21 Aug 2026 10:40:00 -0400

BEIJING, Aug. 21, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, proposes a cutting-edge quantum machine learning technology oriented toward classical data classification tasks—a quantum convolutional neural network with interaction layers for classical data classification. This technology systematically enhances the overall performance of quantum convolutional neural networks in terms of expressive power, entanglement generation capability, and actual classification performance by introducing a novel interaction layer structure based on three-qubit interactions, marking an important step forward in the

WiMi's Next-Generation Quantum Convolutional Neural Network Reshapes Classical Data Classification Methods

Fri, 21 Aug 2026 10:40:00 -0400

WiMi's Next-Generation Quantum Convolutional Neural Network Reshapes Classical Data Classification Methods

Fri, 21 Aug 2026 10:40:00 -0400

WiMi's Next-Generation Quantum Convolutional Neural Network Reshapes Classical Data Classification Methods

Fri, 21 Aug 2026 10:40:00 -0400

WiMi unveils hybrid quantum-classical neural network for image tasks

Thu, 13 Aug 2026 10:30:46 -0400

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) announced the development of a Hybrid Quantum Neural Network, called H-QNN, designed for binary image classification tasks using the MNIST dataset, according to a company press release.

The technology combines parameterized quantum circuits with classical neural network architectures. WiMi said the system has been applied to binary image classification on the MNIST dataset, which consists of handwritten digit images with 28×28-pixel grids containing 784 grayscale values per image.

The H-QNN architecture uses a classical preprocessing module to reduce the dimensionality of input images before encoding them into quantum states. Quantum rotation gates translate image features into

WiMi Hologram Cloud Inc. Unveils H-QNN Technology for Efficient Binary MNIST Image Classification

Thu, 13 Aug 2026 10:30:00 -0400

BEIJING, Aug. 13, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WIMI" or the "Company"), a globally leading technology provider, announces a major breakthrough in releasing Hybrid Quantum Neural Network (H-QNN), an innovative hybrid quantum-classical neural network technology tailored for the image recognition sector. The technology creatively integrates parameterised quantum circuits with classical neural network architectures and has been successfully deployed for binary image classification tasks on the MNIST dataset, delivering outstanding performance in classification accuracy, feature representation capability, and model training efficiency.

Image classification stands as one of the most

WiMi Hologram Cloud Inc. Unveils H-QNN Technology for Efficient Binary MNIST Image Classification

Thu, 13 Aug 2026 10:30:00 -0400

Image classification stands as one of the most

WiMi Hologram Cloud Inc. Unveils H-QNN Technology for Efficient Binary MNIST Image Classification

Thu, 13 Aug 2026 10:30:00 -0400

Image classification stands as one of the most

WiMi Hologram Cloud Inc. Unveils H-QNN Technology for Efficient Binary MNIST Image Classification

Thu, 13 Aug 2026 10:30:00 -0400

Image classification stands as one of the most

WiMi explores quantum-classical machine learning framework

Tue, 04 Aug 2026 09:12:14 -0400

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) announced it is exploring a federated training framework that combines quantum neural networks with classical pre-trained convolutional models, according to a press release from the Beijing-based company.

The proposed architecture, which WiMi calls a hybrid quantum-classical convolutional neural network (SHQCNN), uses classical convolutional models to handle feature extraction tasks while quantum neural networks built on parameterized quantum circuits handle higher-level abstract feature mapping. A federated learning layer coordinates model training across distributed nodes.

The company says the framework is designed to address two challenges in existing federated learning systems: the computational load of classical neural networks

WiMi explores quantum-classical machine learning framework

Tue, 04 Aug 2026 09:12:14 -0400

The company says the framework is designed to address two challenges in existing federated learning systems: the computational load of classical neural networks