MicroAlgo Unveils Quantum Information Recursive Optimization Algorithm To Revolutionize Combinatorial Optimization Using Quantum Computing

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 problems. This algorithm combines the concepts of quantum computing and recursive algorithms, utilizing the parallel computing capabilities of quantum computers along with the properties of quantum state superposition and interference to rapidly find optimal or near-optimal solutions within the search space. Recursive algorithms solve problems by repeatedly breaking them down into similar subproblems, while quantum computing exploits the characteristics of qubits and quantum states to achieve exponential acceleration. The QIRO algorithm integrates these two approaches by recursively invoking the quantum optimization process, progressively reducing the problem size until the optimal solution is found.