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 ...

Google's implementation of the Quantum Echoes algorithm involves sending a signal into the qubits on the Willow chip, ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

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 from Tel Aviv University have developed a new method for simulating complex quantum systems that can be combined with cutting edge AI techniques The density of 6 fermions in a 2D harmonic ...

For decades, quantum computing has felt like something out of science fiction — abstract, theoretical, and always “10 years away.” But in 2025, the story has changed. Quantum technology is no longer ...

Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from pharmaceuticals to plastics, rely on catalytic processes at some stage of production.

Quantum computers may be able to run useful algorithms more quickly, thanks to a new quantum router that helps data get to the right place faster. Traditional computers avoid becoming slow when faced ...