Quantum Transportation’s unique decoder is making another step forward by being validated in high-performance cloud environments Ra’anana, ...

A team of scientists from Princeton University has measured the energies of electrons in a new class of quantum materials and has found them to follow a fractal pattern. Fractals are self-repeating ...

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 ...

Quantum computer research is advancing at a rapid pace. Today's devices, however, still have significant limitations: For example, the length of a quantum computation is severely limited—that is, the ...

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

Where do you see patterns in chaos? It has been proven, in the incredibly tiny quantum realm, by an international team co-led by UC Santa Cruz physicist Jairo Velasco, Jr. In a new paper published on ...

To capture higher-definition and sharper images of cosmological objects, astronomers sometimes combine the data collected by ...

Integrating quantum computing into AI doesn’t require rebuilding neural networks from scratch. Instead, I’ve found the most effective approach is to introduce a small quantum block—essentially a ...

Duke Quantum Center researchers use a neutral-atom platform to simulate unusual localization effects that could underpin robust quantum information storage.