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 ...

Understanding The FASQ Vision Defining Fault-Tolerant Application-Scale Quantum So, what exactly is this "FASQ" thing we keep ...

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.

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, 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 ...

A search problem refers to the task of finding a solution within some space of possible options, and that space could be made up of discrete steps or continuously varying values. For example, solving ...

Quantum computers will one day outpace the fastest supercomputers on the planet, but what will they be used to accomplish? When you purchase through links on our site, we may earn an affiliate ...

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