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 ...

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 ...

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 ...

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...

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 ...

Japanese firms Toshiba and MIRISE Technologies have demonstrated a breakthrough in autonomous mobility. The ...

Additionally, the algorithm can be applied in areas such as quantum simulation and quantum optimization, offering new technological tools and solutions for research and development in these domains.

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