Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional ...

"Machine Learning in Quantum Sciences", outcome of a collaborative effort from world-leading experts, offers both an introduction to machine learning and deep neural networks, and an overview of their ...

From superconductors and AI-driven quantum analysis to black hole physics, Day 2 of QMAT2026 highlighted cutting-edge ...

A team of physics educators is focusing on a new approach to teaching quantum physics in schools. Traditional classroom teaching has tended to focus on presenting the history of the origins of quantum ...

This research was published in the journal Science Advances.Discovery of flat-band 2D materials via physics-informed scoring ...

First formulated in 1935, the famous thought experiment attempts to explain the weirdness of quantum superposition, but a new study shows that this theoretical feline is really only the beginning of ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

QKD offers a fundamentally different approach to securing communications, but cost, infrastructure and scalability challenges ...

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: ...