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3 - MicroAlgo Inc. (0001800392) (Issuer)
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SHENZHEN,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
shenzhen, 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
SHENZHEN, 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
SHENZHEN, 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
shenzhen, 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
shenzhen, 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
Shenzhen, 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
shenzhen, 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
SHENZHEN, 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
SHENZHEN, 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
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424B5 - MicroAlgo Inc. (0001800392) (Filer)
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SHENZHEN, China, April 28, 2025 /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, 2024. The Company reported total revenues of RMB 541.5 million (USD 75.3 million) and net income of RMB 53.4 million (USD 7.3 million), marking a significant turnaround from the previous year's net loss of RMB 266.2 million and net loss of RMB 46.54 million in 2022. This return to profitability is largely attributed to the company's strategic shift away from its intelligent chips and services segment, and dedication of resources resulting in st
Shenzhen, April 28, 2025 (GLOBE NEWSWIRE) -- Shenzhen, China, April 28, 2025 – 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, 2024. The Company reported total revenues of RMB 541.5 million (USD 75.3 million) and net income of RMB 53.4 million (USD 7.3 million), marking a significant turnaround from the previous year's net loss of RMB 266.2 million and net loss of RMB 46.54 million in 2022. This return to profitability is largely attributed to the company's strategic shift away from its intelligent chips and services segment, and dedica