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 ...

Building a quantum computer in silicon is a natural choice for the field. The world has already refined classical computing in silicon, and it is one of the world's best understood elements. This ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Artificial intelligence (AI) has become integral to our daily lives, from virtual assistants ...

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

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

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

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert ...

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

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 ...