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

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

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. When you purchase through ...

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...

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 hunk of material bustles with electrons, one tickling another as they bop around. Quantifying how one particle jostles others in that scrum is so complicated that, beginning in the 1990s, physicists ...

A team of AI researchers at Google DeepMind, working with a team of quantum researchers at Google Quantum AI, announced the development of an AI-based decoder that identifies quantum computing errors.

A gold superconducting quantum computer hangs against a black background. Quantum computers, like the one shown here, could someday allow chemists to solve problems that classical computers can’t.

Superconductors sit at the heart of some of the most ambitious technologies on the horizon, from lossless power grids to ...

Quantum computing has moved from physics labs into boardroom slide decks, promising to crack problems that leave even the ...