WiMi Hologram Cloud Inc. American Depositary Share - WIMI STOCK NEWS

WiMi Hologram Cloud (NASDAQ: WIMI) has developed Machine Learning-based Quantum Error Suppression Technology (MLQES), addressing error challenges in quantum computing without requiring additional quantum resources. The technology uses supervised learning models to predict potential errors in quantum circuits and implements a circuit segmentation mechanism when errors exceed predetermined thresholds.

MLQES combines classical and quantum computing capabilities by splitting large quantum circuits into smaller sub-circuits when necessary, controlling errors within acceptable ranges. The system processes results on classical computers using reconstruction algorithms, making quantum computing more efficient particularly for NISQ (noisy intermediate-scale quantum) devices.

This innovation offers a scalable framework that reduces reliance on quantum error-correcting codes while enhancing computational efficiency, particularly beneficial for applications in quantum chemistry, optimization problems, and cryptography.

WiMi Hologram Cloud (NASDAQ: WIMI) announced the development of the Holographic Quantum Linear Solver (HQLS), a new quantum algorithm for solving linear systems of equations. The HQLS combines Variational Quantum Algorithms (VQA) with the classical shadow framework to overcome hardware resource limitations of traditional quantum solvers.

The algorithm reduces quantum bit requirements and gate complexity compared to traditional methods like the HHL algorithm, making it more suitable for current noisy intermediate-scale quantum (NISQ) computers. HQLS operates through a process of initialization, parameterized quantum circuit design, iterative optimization, shadow framework approximation, and convergence checking.

The technology shows promise for applications in climate modeling, quantum chemistry, machine learning, and financial modeling, with potential for integration with other quantum algorithms for complex problem-solving.

WiMi Hologram Cloud (NASDAQ: WIMI) has developed an FPGA-based digital quantum computer verification technology. The technology utilizes digital quantum bits through digital signal processing (DSP) to simulate quantum states, offering enhanced stability and control. The system features a 32-qubit digital quantum coprocessor implemented on FPGA hardware, allowing for customizable and efficient quantum computing operations.

The technology incorporates digital quantum gates through FPGA logic circuits, enabling precise control of qubit states. A notable achievement is the implementation of Quantum Fourier Transform (QFT), which can be executed in approximately 10 nanoseconds. The system also manages qubit interactions and entanglement, important for complex quantum algorithms.

WiMi Hologram Cloud (NASDAQ: WIMI) has developed a new FPGA-based design solution for simulating quantum computing concepts. The solution includes FPGA implementation of quantum gate operations, parallel processing architecture, resource optimization, and circuit synthesis simulation tools.

The company's approach demonstrated significant improvements over traditional methods: reducing computation time by more than 2x compared to sequential logic circuits, while using 30% fewer hardware resources than parallel circuit designs. The solution was tested with a binary function parity-check circuit implementation.

The new design aims to provide a more practical approach for quantum computing research and applications, focusing on enhanced circuit performance and resource utilization efficiency.

WiMi Hologram Cloud (NASDAQ: WIMI) has announced the development of a cross-chain model based on Relay Chain and asynchronous consensus mechanism. The model aims to create an efficient infrastructure for the metaverse by using the Relay Chain as a central bridge connecting multiple independent blockchains.

The Relay Chain coordinates communication between different blockchains, ensuring accurate data transmission and transaction validation. The system implements an asynchronous consensus mechanism to maintain consistency even during network delays or presence of malicious nodes.

This alliance chain cross-chain model enhances system robustness and decentralization while addressing challenges of handling large-scale data in the metaverse. The solution aims to improve scalability and interoperability of the metaverse ecosystem.

WiMi Hologram Cloud (NASDAQ: WIMI) announced the exploration of a blockchain-based distributed collaborative computing architecture for in-vehicle digital twin networks. The system integrates blockchain technology with digital twin capabilities to enhance the Internet of Vehicles (IoV). The architecture treats each vehicle as a node, recording computing power and storage capacity on the blockchain, while using smart contracts for resource allocation.

The digital twin component creates virtual models of vehicles and environments, analyzing real-time sensor data to simulate operating conditions and support decision-making. WiMi's architecture aims to improve efficiency in intelligent transportation systems by combining blockchain's resource sharing capabilities with digital twins' precise management features.

WiMi Hologram Cloud (NASDAQ: WIMI) announced its research into smart contract-based cross-chain communication solutions. The company aims to enhance interoperability between different blockchain platforms through a technical architecture comprising:

• Cross-Chain Messaging Layer for secure information transmission
• Smart Contract Standardization for improved interoperability
• Interoperability Protocol for asset and service transfers
• Security and Privacy Protection using fully homomorphic encryption (FHE) and machine learning

The solution enables automatic execution of predefined transaction rules and decentralized verification mechanisms, reducing third-party reliance while enhancing system security and transparency.

WiMi Hologram Cloud (NASDAQ: WIMI) announced research into a blockchain-assisted resource management solution for edge computing networks. The company is developing a system that uses deep reinforcement learning (DRL) algorithms to optimize the allocation of computational resources between task processing and blockchain consensus processes.

The solution aims to address inefficiencies in traditional edge computing networks by treating task processing and resource allocation as an integrated system rather than separate processes. The DRL algorithm continuously learns from environmental feedback to dynamically adjust resource allocation based on computational demands and blockchain consensus requirements, working to minimize processing latency and energy consumption.

WiMi Hologram Cloud (NASDAQ: WIMI) announced the development of a blockchain sharding storage model optimized for multi-view data storage. The model divides blockchain networks into multiple independent 'shards' to improve scalability and processing speed. The system incorporates image splicing technology and IPFS (InterPlanetary File System) to reduce storage costs and enhance data accessibility.

The model features cross-shard communication for data synchronization and has applications across various industries, including media, healthcare, and IoT. In healthcare, it enables efficient storage of medical imaging data, while in IoT, it facilitates real-time processing of multi-sensor data streams.