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

The collaboration of TU Wien with research groups in China has resulted in a crucial building block for a new kind of quantum ...

Researchers once struggled to understand unconventional solutions developed by artificial intelligence. A new approach leads ...

The fragility and laws of quantum physics generally make the characterization of quantum systems time‑consuming. Furthermore, ...

At the smallest scales of nature, the rules of the world shift in ways that can feel unsettling and beautiful at the same ...

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 key distribution promises ultra-secure communication by using the strange rules of quantum physics to detect eavesdroppers instantly. But even the most secure quantum link can falter if the ...

In chemistry, molecules with a "flat" geometry are often stable enough to support a wide range of reactions. But in the quantum world, that's not technically true.

At the smallest scales of matter, nature behaves in ways that feel almost counterintuitive. Individual particles follow simple rules, but when they interact together, entirely new behaviors can ...

A new theory of quantum gravity, which attempts to unite quantum physics with Einstein's relativity, could help solve the puzzle of the universe's expansion, a theoretical paper suggests. When you ...

An experiment measuring a single atom's recoil confirmed that observing a particle destroys interference, settling the ...

Graphic illustrating the difference in energy between running a quantum clock (left: a single electron hopping between two nanoscale regions) and reading the ticks of the clock (right). The energy ...