WIMI

WiMi Hologram Cloud

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Sentiment 3-Months
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Neutral
PRNewsWire
1 day ago
WiMi Proposes a New High-Performance Fault-Tolerant Quantum Computing Technology Based on Multi-Hypercube Codes
BEIJING, June 2, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, proposes a new high-performance fault-tolerant quantum computing technology based on multi-hypercube codes. This technology constructs a cascaded high-rate small-size quantum error-detection code system, which, while ensuring high fault-tolerant capability, significantly improves the quantum encoding rate and achieves high parallelism in logical gate operations.
WiMi Proposes a New High-Performance Fault-Tolerant Quantum Computing Technology Based on Multi-Hypercube Codes
Neutral
PRNewsWire
6 days ago
WiMi Achieves Breakthrough in Deep Convolutional Neural Network Technology Based on Quantum Parameterized Circuits
BEIJING, May 28, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company") is a leading global Hologram Augmented Reality ("AR") Technology provider. A quantum deep convolutional neural network technology oriented toward image recognition tasks has achieved phased progress.
WiMi Achieves Breakthrough in Deep Convolutional Neural Network Technology Based on Quantum Parameterized Circuits
Neutral
PRNewsWire
13 days ago
WiMi Deploys Quantum Computing Optimization Based on Multi-Objective Deep Reinforcement Learning
BEIJING, May 21, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, is researching quantum computing optimization based on multi-objective deep reinforcement learning. The core of this innovative solution lies in breaking the limitations of traditional single-objective optimization and constructing a global optimization framework that takes into account multi-dimensional constraints.
WiMi Deploys Quantum Computing Optimization Based on Multi-Objective Deep Reinforcement Learning
Neutral
PRNewsWire
23 days ago
WiMi Releases Next-Generation Quantum Neural Network Feature Mapping Technology: Repeated Amplitude Encoding Significantly Enhances Expressive Power of Quantum Models
BEIJING, May 11, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, released a key foundational technology oriented toward quantum neural networks—the Repeated Amplitude Encoding method (Repeated Amplitude Encoding, RAE). This technology effectively enhances the mapping capability of quantum neural networks to complex feature spaces by performing repeated amplitude encoding of the same set of classical data across multiple qubit blocks, thereby providing an entirely new engineered path for constructing quantum neural network models that possess high expressive power while maintaining controllable resource usage.
WiMi Releases Next-Generation Quantum Neural Network Feature Mapping Technology: Repeated Amplitude Encoding Significantly Enhances Expressive Power of Quantum Models
Neutral
PRNewsWire
28 days ago
WiMi Studies Multi-Scale Feature Fusion Quantum Deep Convolutional Neural Network for Text Classification
BEIJING, May 6, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a breakthrough technological achievement—a Multi-Scale Fusion Quantum Deep Convolutional Neural Network for Text Classification. This technology is based on an advanced quantum convolutional architecture and an innovative multi-scale feature fusion mechanism, aimed at solving bottlenecks in the field of natural language processing (NLP) such as high model complexity, limited embedding representations, and difficulty in scaling quantum networks.
WiMi Studies Multi-Scale Feature Fusion Quantum Deep Convolutional Neural Network for Text Classification
Neutral
PRNewsWire
1 month ago
WiMi announced a net income of RMB 347 million for 2025, a year-on-year increase of 235%
BEIJING, April 24, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (Nasdaq: WIMI) ("WiMi" or the "Company"), a leading hologram augmented reality ("AR") technology provider, today announced that it has filed its annual report on Form 20-F for the fiscal year ended December 31, 2025, with the Securities and Exchange Commission (the "SEC"). The company reported that its net income increased by RMB 243.8 million, or 235.9%, from RMB 103.3 million for the year ended December 31, 2024, to RMB 347.1 million (USD 49.4 million) for the year ended December 31, 2025, representing two consecutive years of profitability with substantial profit growth and significantly improved performance.
WiMi announced a net income of RMB 347 million for 2025, a year-on-year increase of 235%
Neutral
PRNewsWire
3 months ago
WiMi Studies Hybrid Quantum-Classical Inception Neural Network Model for Image Classification
BEIJING, Feb. 18, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, proposed a brand-new technological innovation—a hybrid quantum-classical Inception neural network model for image classification. This is a brand-new hybrid architecture that naturally integrates quantum computing with classical deep learning through Inception-style parallel feature channels, achieving triple improvements in performance, efficiency, and robustness.
WiMi Studies Hybrid Quantum-Classical Inception Neural Network Model for Image Classification
Neutral
GlobeNewsWire
3 months ago
WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification
WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification
Neutral
GlobeNewsWire
4 months ago
WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning
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 the first time, constructs a fully hardware-adaptable quantum convolution kernel design, enabling quantum models to efficiently process multi-channel data, thereby demonstrating absolute advantages in industries such as image classification, medical imaging, video analysis, and multimodal monitoring.From a research and development perspective, the core of this technological breakthrough lies not merely in the construction of multi-channel quantum convolution kernels but in the entire systematized design scheme, including convolution kernel structure, qubit layout, channel interaction encoding, weight learnability, interpretability, and hardware constraint adaptation strategies.
WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning
Neutral
GlobeNewsWire
5 months ago
WiMi Achieves Coexistence of Lightweight Design and High Performance by Efficiently Embedding Quantum Modules into U-Net
BEIJING, Jan. 02, 2026 (GLOBE NEWSWIRE) -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, released a breakthrough achievement—a hybrid quantum-classical deep learning technology based on parameter-efficient quantum modules, QB-Net (Quantum Bottleneck Network). This technology achieves a major breakthrough by embedding lightweight quantum computing modules into the classical U-Net deep learning architecture, reducing the number of parameters in the bottleneck layer by up to 30 times while maintaining performance comparable to that of the classical U-Net.
WiMi Achieves Coexistence of Lightweight Design and High Performance by Efficiently Embedding Quantum Modules into U-Net