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Developing Quantum Machine-Learning Algorithms a Game-Changer in AI

By IQT News posted 01 May 2020

(Raconteur.net) Researchers are bringing together machine-learning and AI are two technologies that have incredible potential in their own right. The main goal is to achieve a so-called quantum advantage, where complex algorithms can be calculated significantly faster than with the best classical computer. This would be a game-changer in the field of AI.
Such a breakthrough could lead to new drug discoveries, advances in chemistry, as well as better data science, weather predictions and natural-language processing. “We could be as little as three years away from achieving a quantum advantage in AI if the largest players in the quantum computing space meet their goals,” says Ilyas Khan, chief executive of Cambridge Quantum Computing.
“Developing quantum machine-learning algorithms could allow us to solve complex problems much more quickly. To realise the full potential of quantum computing for AI, we need to increase the number of qubits that make up these systems,” says Dr Jay Gambetta, vice president of quantum computing at IBM Research.

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