The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Quantum computing can boost the accuracy of battery material simulations, optimize power grid flows and enhance the design of ...

Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning ...

The process by which these algorithms run through their data sets — which usually include a ton of information the AI has to sift through — would definitely get a boost from quantum computing.

Quantum computing stocks have captured the attention of investors due to their immense potential and the considerable risks ...

The Quantum Leap: Potential and Challenges. Quantum computing, on the other hand, is often touted as the next big thing in AI. Quantum computers can process a vast number of possibilities ...

Researchers at the University of Waterloo's Institute for Quantum Computing (IQC) have found that quantum algorithms could speed up generative artificial intelligence (AI) creation and usage. The ...

Cem Dilmegani, who is an industry analyst at AIMultiple, defines quantum AI as the use of quantum computing for running machine learning algorithms. “Thanks to computational advantages of quantum ...

Quantum AI executes ML (machine learning), DL (deep learning), and other data-driven AI algorithms reasonably well. As an approach, quantum AI has moved well beyond the proof-of-concept stage.

This could include cracking cryptographic algorithms, as in the case of the Swedish team from KTH and Meta AI who managed to break post-quantum encryption algorithms.