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 algorithms that outperform state-of-the-art classical computers. The researchers ...

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.

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 ...

Quantum algorithm could help AI think faster Researchers present a quantum speed-up for machine learning Date: February 2, 2018 Source: Centre for Quantum Technologies at the National University ...

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 ...

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.

“Quantum artificial intelligence with better algorithms… are faster and more accurate,” CompTIA, a global, nonprofit IT association, stated in a blog.. Commercial quantum platforms, such as ...

For applications of advanced machine learning (ML), writing AI algorithms fortified by quantum computing reduces the amount of time required for bringing new pharmaceuticals to market, for example.

'Quantum AI' algorithms already outpace the fastest supercomputers, study says. Physicists force atoms into state of quantum 'hyper-entanglement' using tweezers made of laser light.

British-born Canadian Suzanne Gildert started her remarkable career with a Ph.D in Experimental Quantum Computing and several years creating quantum AI algorithms for D-Wave.