Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...

Researchers at the University of Tokyo have identified a precise sweet spot where quantum reservoir computing, a machine learning approach that treats quantum systems as computational engines, reaches ...

For the first time, researchers in China have accurately quantified how chaos increases in a quantum many-body system as it evolves over time. Combining experiments and theory, a team led by Yu-Chen ...

Learn how modified fluorescent proteins are evolving into quantum sensors, enhancing our understanding of cellular processes.

“The theoretical framework we developed explains how quasiparticles emerge in systems with an extremely heavy impurity, ...

For the modern technology leader, the quest for peak performance has traditionally been a matter of chemistry, an endless ...

Quantum many-body localisation (MBL) describes a regime in which interacting quantum particles fail to achieve thermal equilibrium due to the combined effects of disorder and strong quantum ...

A team of researchers have developed a new method for characterising quantum properties of large systems using graph theory Artistic impression of quantum entanglement of two atoms (Courtesy: ...