In the life sciences and healthcare industries, the speed of innovation impacts how soon new products, medications and ...

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 ...

With Qubitra, they intend to drive practical value by applying quantum approaches to some of the finance sector’s most ...

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 ...

Quantum systems can simulate molecular interactions at a level of fidelity that classical computers cannot achieve. They can ...

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 ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

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 ...

AI is all the rage today, but the next big tech advance could be quantum. Here are two ETFs that let you invest in the next ...