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 ...
MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.
A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a new study. A ...
The proposed algorithm combines variational scheduling with post-processing to achieve near-optimal solutions to combinatorial optimization problems with constraints within the operation time of ...
Solving 100M plus bit size of combinatorial optimization problem through quantum technology is considered to have exceeded the previous record by many factors. Practical quantum computing solutions, ...
The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a team has shown that a certain class of such problems can actually be solved better and much ...
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