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

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Silicon Quantum Computing ("SQC"), a leader in quantum computing and quantum machine learning, has achieved a breakthrough that positions the ...

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 computing has moved from physics labs into boardroom slide decks, promising to crack problems that leave even the ...

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 ...

The breakthrough outstrips all other silicon quantum processing units, clearing the path to fault tolerant, commercial scale ...

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 ...

QTUM is a thematic ETF designed to provide exposure to companies involved in quantum computing and machine learning and uses ...