Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That approach works well in classical science. Once quantum effects dominate, the ...

In the life sciences and healthcare industries, the speed of innovation impacts how soon new products, medications and treatments make it to market—and, in turn, how quickly people are able to benefit ...

Over the years, data centers have reinvented themselves through virtualization, the cloud and AI. The next iteration is ...

Qilimanjaro Quantum Tech today announced the release of EduQit, a modular quantum computing kit designed to enable - Read ...

Google claims to have achieved a verifiable quantum breakthrough with a new algorithm that outperforms the most powerful ...

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 ...

Quantum computing and its threat to current encryption and the unknown threat of powerful quantum automated by advanced AI.

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 ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Introduction: The Portfolio Optimization Process Needs to Be Revamped. For decades, portfolio optimization has been the pinnacle of modern finance. In the 1950s, with the introduction of Harry ...