This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

The distributed frequency control system of microgrids, which relies on classical communication networks between distributed generations (DGs) for frequency regulation and restoration, is vulnerable ...

For over a decade, researchers have considered boson sampling—a quantum computing protocol involving light particles—as a key milestone toward demonstrating the advantages of quantum methods ...

In a statement, Nord Quantique representatives described the new architecture as "a first in applied physics" and a practical route toward scalable, utility-grade quantum machines.

This work marks the first practical use of boson sampling, long seen as a key demonstration of quantum computing’s potential to outperform classical methods. The researchers used computer ...