Editors' ChoiceMachine Learning

A quantum leap for machine learning

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Science  14 Oct 2016:
Vol. 354, Issue 6309, pp. 193-194
DOI: 10.1126/science.354.6309.193-g

Machine learning is a field of artificial intelligence in which a set of algorithms and training sets can teach a computer to learn and then to independently perform a particular set of tasks. These thinking machines are now at the stage of pitting their wits against human opponents, and can, in recent instances, outperform and beat the very best opponents in complex gaming scenarios. So far, the implementations have been classical algorithms running on classical computers. Dunjko et al. show that certain aspects of quantum information processing, when applied to machine learning, could provide a quantum advantage. They identify certain traits in machine learning for which quantum processing algorithms can improve learning efficiency, and they show that quantum processing could provide faster solutions when applied to particular categories of machine learning problems.

Phys. Rev. Lett. 117, 130501 (2016).

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