D-Wave debuts a PyTorch-integrated Quantum AI toolkit, but IBM and Google's hardware breakthroughs keep the pressure on.

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.

Researchers at Cleveland State University have recently achieved a significant breakthrough in the field of quantum sensing by utilizing machine learning techniques to optimize circuits, successfully ...

Quantum machine learning stands at the forefront of AI research and application, promising to address some of the most challenging problems across various industries.

By linking quantum expressibility to neural tangent kernel behaviour, this work offers a new framework for understanding and improving learning dynamics in quantum machine learning ...

A review published in National Science Review highlights recent progress at the intersection of machine learning and quantum ...

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 ...

IonQ (NYSE: IONQ), a leader in the quantum computing industry, today announced the launch of its new Faculty & Researcher Learning Series in partn ...

How likely you think something is to happen depends on what you already believe about the circumstances. That is the simple ...

The BEYA STEM Conference introduces a Quantum Computing Executive Leadership Learning Track, preparing leaders for the ...