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

WiMi Hologram Cloud (NASDAQ: WIMI) has announced the development of a binary string polynomial encoding for Quantum Random Access Memory (QRAM). This breakthrough technology enhances quantum computing efficiency through significant improvements in key metrics:

The new QRAM architecture achieves an exponential improvement in T-depth through polynomial encoding of binary strings, compared to traditional bucket brigade architectures where T-depth grows linearly. The design maintains optimal T-count efficiency while reducing T-depth, ensuring efficient resource utilization. Additionally, WiMi's design maintains qubit count while optimizing other computational resources.

The technology introduces a quantum Look-Up Table (qLUT) concept, which, despite being read-only, provides rapid data access at lower computational costs for specific applications. This advancement is expected to impact various fields, including chemical molecular simulations, financial market predictions, cryptography decryption, and artificial intelligence.

WiMi Hologram Cloud (NASDAQ: WIMI) has announced the development of a hybrid CPU-FPGA quantum AI simulator designed to simulate quantum computer behavior and optimize quantum algorithms on classical computers. The simulator combines CPU versatility with FPGA parallel processing capabilities through a dual-component framework:

The CPU component handles high-level logic and complex algorithmic tasks, while the FPGA component executes parallel computing tasks like quantum state simulation and gate operations. The system features a three-layer structure: hardware layer (high-performance CPUs and FPGA chips), software layer (quantum algorithms and AI model simulation framework), and interface layer (ensuring compatibility with existing platforms).

The simulator employs software-hardware co-design optimization and aims to provide businesses and research institutions with tools for exploring quantum algorithms and developing AI applications.

WiMi Hologram Cloud (NASDAQ: WIMI) has announced the development of an innovative FPGA-based digital quantum coprocessor featuring both homogeneous and heterogeneous architectures. This technology aims to overcome limitations of traditional quantum hardware by using FPGA's digital logic to simulate qubit behavior, offering improved stability and scalability compared to conventional quantum accelerators.

The solution implements quantum computing functions through carefully designed architectures: the homogeneous design processes all qubits uniformly, simplifying system management, while the heterogeneous architecture allows different types of qubits to coexist for varied computational needs. The technology utilizes an IP core generator and VHDL programming to create reusable quantum computing elements and control FPGA hardware behavior.

The development represents a significant advancement in quantum computing, potentially impacting various industries by solving complex problems traditional computers struggle with.

WiMi Hologram Cloud (NASDAQ: WIMI) has developed a Quantum Technology-Based Random Access Memory Architecture (QRAM). The architecture implements fundamental logical operations using quantum gates like CNOT, V, and V+ gates. QRAM's key features include:

- Utilization of quantum superposition and entanglement for parallel processing
- Quantum error correction mechanisms to preserve data integrity
- Seamless integration with quantum processing units
- Near real-time data read/write capabilities

The technology aims to enhance quantum computing performance, particularly in applications like molecular simulations, climate modeling, and quantum machine learning. QRAM's architecture enables efficient parallel data access while maintaining quantum system stability.

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.