News25/Ratings0
News · 26 weeks3+100%
2025-10-262026-04-19
Mix390d
- Other1(33%)
- SEC Filings1(33%)
- Earnings1(33%)
Latest news
25 items- PRMicroAlgo Announces Substantial Increase of 143.5% in Net Profit for 2025SHENZHEN, China, April 1, 2026 /PRNewswire/ -- MicroAlgo Inc. (NASDAQ:MLGO), (the "Company"), a leading developer and application provider of bespoke central processing algorithms, today announced its financial results for the year ended December 31, 2025. Financial Highlights 2025The Company's net profit for 2025 was RMB 127.56 million (USD 18.15 million), representing a substantial increase of 143.5% compared with the same period of the prior year, demonstrating the Company's strong profitability.Diluted earnings per share for 2025 were RMB 14.87 (USD 2.12), compared with RMB 3.99 in 2024, representing an increase of 272.7%.Total shareholders' equity more than doubled, reaching RMB 2,321.8
- SECSEC Form 6-K filed by MicroAlgo Inc.6-K - MicroAlgo Inc. (0001800392) (Filer)
- SECSEC Form 20-F filed by MicroAlgo Inc.20-F - MicroAlgo Inc. (0001800392) (Filer)
- SECSEC Form 6-K filed by MicroAlgo Inc.6-K - MicroAlgo Inc. (0001800392) (Filer)
- SECSEC Form 6-K filed by MicroAlgo Inc.6-K - MicroAlgo Inc. (0001800392) (Filer)
- SECSEC Form 6-K filed by MicroAlgo Inc.6-K - MicroAlgo Inc. (0001800392) (Filer)
- SECSEC Form 6-K filed by MicroAlgo Inc.6-K - MicroAlgo Inc. (0001800392) (Filer)
- SECSEC Form 6-K filed by MicroAlgo Inc.6-K - MicroAlgo Inc. (0001800392) (Filer)
- PRMicroAlgo Inc. Announces the Development of Grover-based Quantum Algorithm Technology for Finding Pure Nash Equilibria in Graphical GamesSHENZHEN,China, July 7, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the development of a Grover-based quantum algorithm designed to find pure Nash equilibria in graphical games. This technology represents not only an important advancement in quantum algorithm research but also provides a fresh perspective on game theory and its applications. The Grover search algorithm is an efficient quantum search algorithm that can find a target element in an unstructured database with a time complexity of the square root of the number of elements. By employing amplitude amplification techniques, it enables the identification of a target item in an un
- SECSEC Form 6-K filed by MicroAlgo Inc.6-K - MicroAlgo Inc. (0001800392) (Filer)
- SECSEC Form 6-K filed by MicroAlgo Inc.6-K - MicroAlgo Inc. (0001800392) (Filer)
- SECSEC Form 6-K filed by MicroAlgo Inc.6-K - MicroAlgo Inc. (0001800392) (Filer)
- PRMicroAlgo Inc. Integrates Quantum Image LSQb Algorithm with Quantum Encryption Technology to Build a More Secure Quantum Information Hiding and Transmission Systemshenzhen, June 09, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Integrates Quantum Image LSQb Algorithm with Quantum Encryption Technology to Build a More Secure Quantum Information Hiding and Transmission System Shenzhen, Jun. 09, 2025––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that by integrating the quantum image LSQb algorithm with quantum encryption technology, they have proposed a brand-new information hiding and transmission scheme, aiming to build a more secure and efficient data protection mechanism.The LSQb algorithm, namely the Least Significant Quantum Bit algorithm for quantum images, is an innovative quantum image processing technology. It achi
- PRMicroAlgo Inc. Adopts Quantum Phase Estimation (QPE) Method to Enhance Quantum Neural Network TrainingSHENZHEN, China, June 6, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), explored the possibilities of quantum technology in various application scenarios, particularly in the training of Quantum Neural Networks (QNNs). Quantum Neural Networks combine the advantages of quantum computing and machine learning, promising revolutionary breakthroughs in fields such as data processing and pattern recognition. Quantum Phase Estimation (QPE) is a key technique in quantum computing that leverages quantum superposition and interference principles to efficiently estimate the phase information of quantum states. In quantum neural network training, QPE is used to optim
- PRMicroAlgo Inc. Explores Optimization of Quantum Error Correction Algorithms to Enhance Quantum Algorithm AccuracySHENZHEN, May 27, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Explores Optimization of Quantum Error Correction Algorithms to Enhance Quantum Algorithm Accuracy Shenzhen, May. 27, 2025––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced efforts to improve the accuracy and reliability of quantum algorithms by exploring and optimizing quantum error correction algorithms. Quantum error correction algorithms are designed to detect and correct errors in qubits. Due to the fragility of qubits during quantum computation, quantum states are easily affected by various noise and interference. Challenges such as ensuring efficient error correction in large-scale qubit systems
- SECSEC Form 424B5 filed by MicroAlgo Inc.424B5 - MicroAlgo Inc. (0001800392) (Filer)
- SECSEC Form 6-K filed by MicroAlgo Inc.6-K - MicroAlgo Inc. (0001800392) (Filer)
- PRMicroAlgo Inc. Researches Quantum Machine Learning Algorithms to Accelerate Machine Learning Tasksshenzhen, May 20, 2025 (GLOBE NEWSWIRE) -- Shenzhen, May. 20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated with machine learning to explore practical application scenarios for quantum acceleration.Quantum machine learning algorithms represent an innovative approach that applies the principles of quantum computing to the field of machine learning. By leveraging the unique properties of quantum bits, such as superposition and entanglement, these algorithms enable parallel data processing and efficient computation. Compared to classical algorithms, quantum machine learning demonstrates significant advantages i
- PRMicroAlgo Inc. Announces a Quantum Entanglement-Based Novel Training Algorithm — Entanglement-Assisted Training Algorithm for Supervised Quantum Classifiersshenzhen, May 16, 2025 (GLOBE NEWSWIRE) -- Shenzhen, May. 16, 2025––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the development of a novel quantum entanglement-based training algorithm — the Entanglement-Assisted Training Algorithm for Supervised Quantum Classifiers. They also introduced a cost function based on Bell inequalities, enabling the simultaneous encoding of errors from multiple training samples. This breakthrough surpasses the capability limits of traditional algorithms, offering an efficient and widely applicable solution for supervised quantum classifiers.The core of MicroAlgo's entanglement-assisted training algorithm for supervised quantum c
- PRMicroAlgo Inc. Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm, for Combinatorial Optimization Problems to Expand and Solve New IdeasShenzhen, May 14, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm, for Combinatorial Optimization Problems to Expand and Solve New Ideas Shenzhen, May. 14, 2025––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the research of the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to provide a new approach to combinatorial optimization problems by leveraging the power of quantum computing. The Quantum Information Recursive Optimization (QIRO) algorithm is an optimization algorithm based on quantum computers, designed to tackle complex combinatorial optimization probl
- PRMicroAlgo Inc. Develops Blockchain-Based Traceable IP Rights Protection Algorithmshenzhen, May 13, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Develops Blockchain-Based Traceable IP Rights Protection Algorithm Shenzhen, May. 13, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the development of a blockchain-based traceable IP rights protection algorithm, aiming to fundamentally address the shortcomings of existing copyright protection technologies and safeguard intellectual property rights.MicroAlgo leverages blockchain's distributed ledger and immutability features to develop a technical solution integrating a quadratic matrix transformation mathematical model, distributed random embedding mechanism, and location mapping function desi
- PRMicroAlgo Inc. Develops Quantum Convolutional Neural Network (QCNN) Architecture to Enhance the Performance of Traditional Computer Vision Tasks Using Quantum Mechanics PrinciplesSHENZHEN, China, May 12, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), they announced today their research on quantum visual computing, exploring the integration of quantum computing with classical convolutional neural networks. They are developing a Quantum Convolutional Neural Network (QCNN) architecture to enhance the performance of traditional computer vision tasks using quantum mechanics principles. The Quantum Convolutional Neural Network (QCNN) architecture is an innovative computational model that cleverly combines the parallelism of quantum computing with the feature extraction capabilities of classical convolutional neural networks. In QCNN, qu
- SECSEC Form 424B5 filed by MicroAlgo Inc.424B5 - MicroAlgo Inc. (0001800392) (Filer)
- SECSEC Form 6-K filed by MicroAlgo Inc.6-K - MicroAlgo Inc. (0001800392) (Filer)
- PRMicroAlgo Inc. Develops Quantum Image Encryption Algorithm Based on Quantum Key Images, Offering A Higher Security Image Protection SolutionSHENZHEN, China, May 8, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO) announced that the quantum image encryption algorithm they developed, based on quantum key images, is an innovative image protection scheme. This algorithm uses a quantum key image to store encryption keys, leveraging quantum entanglement and parallelism to achieve efficient image encryption. The quantum key image is a special type of quantum image prepared using a specific quantum storage method, with its grayscale values representing the key sequence generated by the encryption algorithm. During encryption, the plaintext image undergoes a bitwise XOR operation with the quantum key imag