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. (NASDAQ: MLGO) is a Cayman Islands exempted company that describes itself as dedicated to bespoke central processing algorithms, with solutions spanning algorithm optimization, accelerated computing without hardware upgrades, lightweight data processing and data intelligence services. Its news flow provides detailed insight into how the company applies these capabilities to advanced areas such as quantum computing, quantum information processing and blockchain-based protection of intellectual property.
On this page, readers can follow MicroAlgo’s announcements about new algorithmic research and technical developments. Recent releases describe a Grover-based quantum algorithm for finding pure Nash equilibria in graphical games, the Quantum Information Recursive Optimization (QIRO) algorithm for combinatorial optimization, and work on quantum machine learning, including quantum neural networks and an entanglement-assisted training algorithm for supervised quantum classifiers. The company also reports on quantum error correction algorithms designed to improve the accuracy and reliability of quantum computation.
MicroAlgo’s news also covers applications of quantum techniques to image processing, encryption and computer vision. Examples include a Quantum Convolutional Neural Network (QCNN) architecture for visual computing, a quantum image encryption algorithm based on quantum key images, and an LSQb-based quantum information hiding and transmission system that integrates quantum encryption and Quantum Key Distribution. In addition, the company has announced a blockchain-based traceable IP rights protection algorithm that uses mathematical modeling and distributed embedding on a blockchain.
Investors and observers can use this news feed to review MicroAlgo’s own descriptions of its algorithm research, quantum and blockchain initiatives, and capital markets disclosures. Returning to this page allows readers to see how the company presents the evolution of its technology and related corporate developments over time.
MicroAlgo Inc. (NASDAQ: MLGO) has announced the development of a blockchain storage optimization solution leveraging the Archimedes Optimization Algorithm (AOA). The solution addresses efficiency bottlenecks in blockchain storage through intelligent algorithmic restructuring of data storage and node collaboration mechanisms.
The system operates across five key stages: data preprocessing, sharding strategy optimization, node resource allocation, consensus mechanism enhancement, and security strategy tuning. The AOA-based solution outperforms traditional approaches, showing 40% better efficiency than Genetic Algorithms and requiring 25% fewer iterations compared to Particle Swarm Optimization. The technology maintains node storage utilization deviation within 15% and reduces load imbalance by 60% compared to conventional methods.
MicroAlgo (NASDAQ: MLGO) reported a remarkable financial turnaround in 2024, achieving total revenues of RMB 541.5 million (USD 75.3 million) and net income of RMB 53.4 million (USD 7.3 million). This marks a significant recovery from previous losses in 2022-2023.
The company's success stems from its strategic focus on central processing algorithm services, which now represents 100% of revenue. Key highlights include:
- R&D investment of RMB 111.7 million (USD 15.5 million)
- Strong cash position of RMB 1,035.9 million (USD 144.1 million), up from RMB 317 million in 2023
- Complete exit from intelligent chips segment
Under CEO Min Shu's leadership, MicroAlgo has strengthened its position in internet advertising and online gaming markets. The company's strategic shift and focus on innovative algorithm solutions have proven successful in driving sustainable growth.
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.