Welcome to our dedicated page for MicroAlgo news (Ticker: MLGO), a resource for investors and traders seeking the latest updates and insights on MicroAlgo stock.
MicroAlgo Inc (MLGO) delivers cutting-edge central processing algorithms and intelligent chip solutions powering industries from finance to quantum computing. This page provides official news updates and press releases directly from the company, offering stakeholders timely insights into its technological advancements.
Investors and industry professionals will find a curated collection of announcements covering algorithm innovations, quantum computing research milestones, and strategic partnerships. The company’s focus on hybrid software-hardware solutions for data optimization and chip design is reflected in updates spanning R&D breakthroughs, financial disclosures, and enterprise collaborations.
All content is sourced from verified corporate communications, ensuring accuracy for those monitoring MLGO’s progress in deep clustering algorithms, multi-query optimization systems, and quantum gate computing applications. Bookmark this page for streamlined access to developments impacting sectors reliant on high-performance computing and intelligent data processing.
MicroAlgo Inc. (NASDAQ: MLGO) has announced the development of the Classical Boosted Quantum Optimization Algorithm (CBQOA), an innovative technology that combines classical and quantum computing approaches for solving complex optimization problems.
The CBQOA integrates classical optimization methods to quickly identify initial feasible solutions, followed by quantum computing refinement using Continuous-Time Quantum Walk (CTQW). This hybrid approach addresses key limitations of traditional quantum algorithms when dealing with constrained optimization problems, particularly in areas like portfolio optimization, logistics scheduling, and network routing.
Unlike standard quantum optimization algorithms such as QAOA and VQE, CBQOA maintains optimization searches within feasible solution spaces without modifying cost functions, resulting in improved efficiency and solution quality. The algorithm demonstrates practical applications in solving various problems including Maximum Cut Problem, Maximum Independent Set Problem, and Minimum Vertex Cover.
WiMi Hologram Cloud Inc (NASDAQ: WIMI) has significantly increased its ownership in MicroAlgo Inc (NASDAQ: MLGO) to 67.65% of total shares outstanding. The holding consists of 40,000 Class A ordinary shares, 1,810,658 restricted Class A ordinary shares, and 44,878,261 restricted Class B ordinary shares.
In a strategic move to stabilize market expectations, WIMI has committed to a ten-year lock-up period for all currently owned MicroAlgo shares, declaring no intentions to sell or dispose of any Microalgo ordinary shares during this period.
WIMI Hologram Cloud specializes in holographic AR technologies, including automotive HUD software, 3D holographic pulse LiDAR, holographic semiconductor, cloud software, car navigation, and other comprehensive technical solutions.
MicroAlgo Inc (NASDAQ: MLGO) has announced plans to issue new shares at $0.8 per share to fulfill a debt obligation. This decision follows a $20 million convertible bond purchase agreement signed with creditors on October 7, 2024, with a 360-day maturity period.
The creditors have now requested share issuance based on the agreement's terms, which allow for conversion into common shares at 70% of the lowest closing market price during the 60 trading days before conversion. This share issuance is specifically intended for debt repayment under the convertible bond agreement terms.
MicroAlgo Inc. (NASDAQ: MLGO) has announced plans to issue new shares at $0.8 per share in response to creditor requests. This decision follows a $20 million convertible bond agreement from October 7, 2024, with a 360-day maturity period.
The convertible bonds can be converted into common shares at 70% of the lowest closing market price during the 60 trading days before conversion. This share issuance is being implemented to repay debt obligations under the agreement terms, as disclosed in the Form 6-K filing with the SEC on October 9, 2024.
MicroAlgo Inc. (NASDAQ: MLGO) has unveiled a groundbreaking multi-simulator collaborative algorithm based on subgraph isomorphism to enhance quantum computer performance. The algorithm addresses qubit limitations by decomposing large quantum circuits into smaller sub-circuits that can be processed using distributed computing.
The technology works by analyzing quantum circuits to identify subgraph structures, partitioning them into independent sub-circuits that don't exceed available quantum computer capacity. These sub-circuits are then distributed across multiple quantum computers or simulators for parallel execution, significantly improving computational efficiency.
The algorithm employs amplitude amplification to merge results from sub-circuits into a unified output. Multiple tests have validated the algorithm's effectiveness across various quantum circuits, demonstrating successful parallel execution while maintaining result accuracy equivalent to single quantum computer processing.
MicroAlgo Inc. (NASDAQ: MLGO) has announced advancements in their implementation of the Grover quantum search algorithm, focusing on improving stability and practicality through optimized quantum circuit design and reduced qubit error rates. The company's approach involves quantum state initialization, oracle function design, quantum interference enhancement, and result extraction processes.
The algorithm theoretically reduces search complexity to O(√N), providing exponential speedup for large-scale unordered database searches. Through quantum superposition, it enables parallel searching and potentially lower energy consumption compared to traditional computing methods. Applications include rapid querying of customer databases in large enterprises and transaction record databases in financial institutions.
MicroAlgo's research aims to expand the algorithm's applications as quantum chip technology advances, potentially combining it with other quantum and classical algorithms to create more powerful computational tools.
MicroAlgo Inc. (NASDAQ: MLGO) has announced the development of an advanced search system combining quantum neural networks with Grover's algorithm to enhance big data search efficiency. The system employs a sophisticated framework including data preprocessing, feature extraction, subset focusing, and result optimization.
The technology leverages quantum mechanics principles with artificial neural networks, enabling high-speed data processing through quantum bits. The system's framework includes advanced pattern recognition, deep learning capabilities for feature extraction, and intelligent space segmentation to reduce unnecessary computations.
The quantum neural network intelligent search reportedly outperforms conventional algorithms, particularly in big data contexts, offering improved accuracy and self-learning capabilities. The technology has applications in database management, big data analysis, information security, and bioinformatics.
MicroAlgo Inc. (NASDAQ: MLGO) has announced the development of an innovative hybrid classical-quantum algorithm designed to optimize Multi-Query Optimization (MQO) problems. The algorithm combines classical computing stability with quantum computing efficiency, achieving nearly 99% qubit efficiency.
The solution addresses current quantum computing limitations through key features including efficient qubit usage, reduced error rates through classical error correction mechanisms, scalability for various problem sizes, and compatibility with existing gate-based quantum computers. The algorithm transforms MQO problems into quantum-compatible forms, utilizing quantum circuits for operations while employing classical computers for error correction and result processing.
Experimental evaluations demonstrate the algorithm's capability to handle smaller-scale problems effectively, showing significant efficiency improvements compared to quantum annealing-based computers. The development represents a practical advancement in quantum computing applications, particularly for data-intensive NP-hard problems in database optimization, machine learning, and network routing.
MicroAlgo Inc. (NASDAQ: MLGO) has announced the development of a groundbreaking quantum algorithm technology - a FULL adder operation based on CPU registers in quantum gate computers. The technology leverages the Bernstein-Vazirani algorithm to implement quantum registers that can perform FULL adder operations through quantum gate operations.
This innovation enhances quantum computers' efficiency and accuracy in complex computational tasks by utilizing quantum bits (qubits) that can exist in multiple states simultaneously, unlike classical computing bits. The technology combines traditional computing concepts with quantum elements, potentially advancing fields like large-scale data processing, encryption, and optimization problems.
While this development marks significant progress, MicroAlgo acknowledges ongoing challenges in quantum computing, including hardware design, qubit stability, and quantum algorithm development.
MicroAlgo (NASDAQ: MLGO) and WiMi (NASDAQ: WIMI) have announced the establishment of a micro-consciousness quantum research center. This center will focus on integrating various scientific disciplines to explore the relationship between consciousness and quantum theory. Key research areas include quantum computing, brain-computer interfaces, AI and quantum consciousness, and quantum-driven generative consciousness. The center aims to bridge the gap between basic science and applied technology, promoting innovation and practical applications. Partnerships with top universities and research institutes in China will facilitate joint research, talent training, and the development of new technologies.
