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

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

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 ...

An international research team has developed a particle swarm optimization (PSO) algorithm based on quantum computing for real-time maximum power point tracking (MPPT) implementation in PV systems.

June 5, 2024 — In a new paper in Science Advances on May 29, researchers at JPMorgan Chase, the U.S. Department of Energy’s (DOE) Argonne National Laboratory and Quantinuum have demonstrated clear ...

Innovative, noise-tolerant quantum algorithm reduces the number of two-qubit gates needed by over 85 percent, speeding up solutions for complex optimization problems. The collaboration combined IonQ’s ...

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 ...

SHENZHEN, China, April 24, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), 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 ...

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