"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 ...

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 ...

Microsoft’s new quantum computer chip has a fundamental problem Microsoft’s announcement of a new quantum computing breakthrough with its Majorana 2 chip continues a trend of bold claims followed by s ...

ISC2 released a 30-minute primer on the cybersecurity implications of quantum computing. If you want to dig deeper, there are many quantum training options that don't require going back to school for ...

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

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 ...

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: ...

Quantum computers might eventually be able to handle some AI applications that currently require huge amounts of conventional computing power. Such a development would be a major boost to machine ...