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 ...

A search problem refers to the task of finding a solution within some space of possible options, and that space could be made up of discrete steps or continuously varying values. For example, solving ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

Xanadu Quantum Technologies Inc. (“Xanadu”), a leading photonic quantum computing company, has today announced a novel quantum computational algorithm to accelerate the discovery and analysis of ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Quantum machine learning is being explored as the next frontier in cybersecurity, but new research shows it remains far from replacing established artificial intelligence systems in detecting phishing ...

It’ll still be a while before quantum computers become powerful enough to do anything useful, but it’s increasingly likely that we will see full-scale, error-corrected quantum computers become ...

The U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) has finalized a set of encryption algorithms designed to withstand cyberattacks from quantum computers. These ...