Machine learning has emerged as a powerful tool in condensed matter physics, offering new perspectives on the exploration of quantum many-body systems, phase transitions and exotic states of matter.

Your phone finishes your sentences, your camera detects faces and your streaming app suggests songs you never thought you would want, thanks to classical AI systems. These are powerful logic engines: ...

In a Meet the Moment conversation, Khan Academy founder Sal Khan tells Kristen Welker that artificial intelligence can transform education for the better — even as educators warn it may fuel cheating, ...

The trio was awarded the prize for research on quantum tunneling, the second year in a row that IT-related work was honored. In a boost to the profile of quantum computing, the Nobel Prize Committee ...

A further benefit is that the channels can be multiplexed, allowing many quantum processors to access the system at the same ...

Quantum systems can simulate molecular interactions at a level of fidelity that classical computers cannot achieve. They can ...

From a child who wanted to be an artist to a UNESCO-honoured quantum scientist, Temitope Adeniyi embodies a new generation of ...

New research on wormholes suggests that these theoretical shortcuts that connect distant points in the universe might be linked with the spooky phenomenon of quantum entanglement. As Charles Q. Choi ...

Forgetting feels like a failure of attention, but physics treats it as a fundamental process with a measurable price. At the ...