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

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...

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 ...

The quantum-AI convergence represents the next fundamental shift in how we process information, solve problems and create ...

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 physics has a reputation for needing exotic hardware, from liquid-helium-cooled qubits to sprawling AI clusters, just ...

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 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 ...