The Quantum Information Recursive Optimization (QIRO) algorithm developed by MicroAlgo demonstrates significant technical advantages in solving combinatorial optimization problems.

MicroAlgo Inc. announced the QIRO algorithm for quantum-combinatorial optimization, enhancing efficiency in complex problem solving.

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 domains.

Tan Liu, Qinyun Yuan, Lina Wang, Yonggang Wang, Nannan Zhang, Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved ...

Novel quantum algorithm for high-quality solutions to combinatorial optimization problems Date: March 25, 2024 Source: Waseda University Summary: Conventional quantum algorithms are not feasible ...