Integrating quantum computing into AI doesn’t require rebuilding neural networks from scratch. Instead, I’ve found the most effective approach is to introduce a small quantum block—essentially a ...

Integrated Cyber Solutions Inc. (CSE: ICS) (OTCQB: IGCRF) (FSE: Y4G) dba Integrated Quantum Technologies ("IQT" or the ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

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 ...

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 ...

From a child who wanted to be an artist to a UNESCO-honoured quantum scientist, Temitope Adeniyi embodies a new generation of ...

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 this piece Rajat Kochhar of Ericsson's CTO office looks at the possibilities quantum AI offers for the telecoms space.

There's a lot of interest in quantum computing in the banking world, but outside specialized teams at large institutions that have invested in it, there is a lack of clarity on what it is, how it ...