Quantum computing will not deliver truly useful business results overnight, but the pace of progress is no longer linear; ...

MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, ...

A quantum computer can solve optimization problems faster than classical supercomputers, ... outperforms the best current classical algorithms when searching for near-optimal solutions to complex ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do so for some critical optimization tasks.

Shenzhen, May 14, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm, for Combinatorial Optimization Problems to Expand and ...

Standard quantum optimization algorithms need to indirectly incorporate these constraints by modifying the cost function, which sharply increases the complexity of the solution process.

Additionally, the algorithm can be applied in areas such as quantum simulation and quantum optimization, offering new technological tools and solutions for research and development in these ...

A specialized form of quantum computing outperforms the best current classical algorithms, demonstrating the first quantum scaling advantage for approximate optimization problem-solving using a ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced today the development of an innovative technology, the Classical Boosted Quantum Optimization Algorithm (CBQOA). This ...