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

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 ...

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

Quantum information systems, systems that process, store or transmit information leveraging quantum mechanical effects, could ...

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 ...

SHENZHEN, May 27, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Explores Optimization of Quantum Error Correction Algorithms to Enhance Quantum Algorithm Accuracy Shenzhen ...

Krysta Svore, general manager of Microsoft Quantum, explains how quantum computing hardware works during a Seattle science conference in 2020. (GeekWire Photo / Alan Boyle) Microsoft and KPMG are ...

Technology companies are pouring billions of dollars into quantum computing, despite the technology still being years away ...

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

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 ...