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Researchers put machine learning on path to quantum advantage

Phys.org - Thu 14 Mar 19

There are high hopes that quantum computing's tremendous processing power will someday unleash exponential advances in artificial intelligence. AI systems thrive when the machine learning algorithms ...

IBM made a quantum algorithm that could make AI more powerful

Newscientist - Wed 13 Mar 19

Artificial intelligence can automatically sort out data, but it struggles for some particularly complex datasets – a quantum algorithm could do better

Machine learning in quantum spaces

Nature News - Wed 13 Mar 19

Machine learning in quantum spacesMachine learning in quantum spaces, Published online: 13 March 2019; doi:10.1038/d41586-019-00771-0Ordinary computers can perform machine learning ...

Supervised learning with quantum-enhanced feature spaces

Nature News - Wed 13 Mar 19

Supervised learning with quantum-enhanced feature spacesSupervised learning with quantum-enhanced feature spaces, Published online: 13 March 2019; doi:10.1038/s41586-019-0980-2Two ...

Quantum computing should supercharge this machine-learning technique

MIT Technology Review - Wed 13 Mar 19

Certain machine-learning tasks could be revolutionized by more powerful quantum computers.

Google Takes On Quantum Computing

iProgrammer - Tue 12 Mar 19

It is a year since Google announced Bristlecone, its 72-qubit quantum processor. Since then the Quantum AI team hasn't made any further announcements. However, there is now a series of ...

Finally, Proof That Quantum Computing Can Boost Machine Learning

SingularityHub - Sun 17 Mar 19

Quantum supremacy sounds like something out of a Marvel movie. But for scientists working at the forefront of quantum computing, the hope—and hype—of this fundamentally different method ...

Machine learning is implemented on an IBM quantum processor

Physicsworld Blog - Thu 14 Mar 19

Proof-of-concept demonstration done using two superconducting qubits The post Machine learning is implemented on an IBM quantum processor appeared first on Physics World.