Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

Zulekha Samiullah and Hugh Barrett talk about the highlights from this year’s Quantum Carousel, a variety show for quantum ...

Quantum can learn from the AI hype cycle, finding ways to manage expectations of what could be a very transformative technology. In the near- and mid-term, we need to not overplay things and be ...

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 ...

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

Reliably quantifying and characterizing the quantum states of various systems is highly advantageous for both quantum physics ...

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.

The 2025 Nobel prize in physics has been awarded to John Clarke, Michel Devoret and John Martinis for their work on showing how quantum particles can mysteriously tunnel through matter, a process that ...

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: ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...