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

Using quantum algorithms can bring down infrastructure costs, as they allow you to solve problems very quickly compared to current techniques. Quantum AI has algorithms similar to AI and will have a ...

Researchers demonstrated a quantum algorithmic speedup with the quantum approximate optimization algorithm, laying the groundwork for advancements in telecommunications, financial modeling, materials ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

The global logistics landscape faces increasing unpredictability due to factors like labor shortages, regional conflicts, climate change and fluctuating demand patterns. Traditional computing methods ...

Quantum algorithms and computation is a research area focused on exploiting quantum mechanical principles—such as superposition, entanglement, and interference—to design computational models and ...

SHENZHEN, China, April 24, 2025 /PRNewswire/ -- MicroAlgo Inc. (MLGO) (the "Company" or "MicroAlgo"), announced today the development of an innovative technology, the Classical Boosted Quantum ...

In a paper published in the journal Trends in Pharmacological Sciences, researchers explored how quantum optimization and quantum machine learning (QML) could enhance clinical trial design and ...

For almost half a century, scientists across the world have put significant efforts in building quantum computers and were looking at use cases for wider adoption. Quantum Computing is a parallel ...