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

Quantum physics has a reputation for needing exotic hardware, from liquid-helium-cooled qubits to sprawling AI clusters, just to crunch through basic simulations. Now a new “physics shortcut” is ...

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

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 ...

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 ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

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

QTUM offers low-cost, equal-weighted exposure to quantum computing and machine learning companies, minimizing concentration risk and appealing to tech-focused investors. The ETF tracks the BlueStar ...