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

Continuing his passion for research, Veljanovski will begin a PhD in computer science at the University of Michigan this fall ...

Los Alamos National Laboratory has led the world in trying to understand one of the most frustrating barriers that faces ...

Proximate analysis helps determine which types of municipal solid waste (MSW) are best for energy recovery. In Mbeya City, ...

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

This model was exported to Simscape Multibody™ of Matlab, and its simulation produced satisfactory results, suggesting that the proposed optimization method can be a useful tool to solve real ...

Because multiobjective optimization problems arise in different scientific applications, many researches have focused on developing methods for their solution. Thus, there are several criteria that ...

Abstract: Solving optimization problems in multiagent systems involves information exchange between agents. The obtained solutions should be robust to information delays and errors that arise from an ...

As quantum computing develops, scientists are working to identify tasks for which quantum computers have a clear advantage ...

"Educate people, and then you can use AI, especially with generative AI ," he said. "Just be aware that AI can make mistakes ...

A new study reveals how humans use flexible problem-solving strategies like hierarchical and counterfactual reasoning when ...