Complex network theory has become a key analytical framework in modern physics for studying structure, dynamics, and emergent behaviour in complex systems.

A new study finds that a 200-year-old technique called Fourier analysis can reveal crucial information about how the form of artificial intelligence called deep neural networks (DNN) learn to perform ...

Researchers created scalable quantum circuits capable of simulating fundamental nuclear physics on more than 100 qubits. These circuits efficiently prepare complex initial states that classical ...

To a nonmathematician, having the letter "i" represent a number that does not quite exist and is "imaginary" can be hard to wrap your head around. If you open your mind to this way of thinking, ...

A machine-learning AI can solve physics problems by simplifying them to be more symmetric. “There are many, many cases in the history of science where people thought things were more complicated than ...

With the economics of transistor scaling no longer universally applicable, the industry is turning to innovative packaging technologies to support system scaling demands and achieve lower system cost.

STOCKHOLM -- Three scientists won the Nobel Prize for physics on Tuesday for work that found order in seeming disorder, helping to explain and predict complex forces of nature, including expanding our ...