The MIT Technology Review has an interesting article on one specific way that quantum computing can revolutionize machine learning.

Feature matching is a technique that converts data into a mathematical representation that lends itself to machine-learning analysis. The resulting machine learning depends on the efficiency and quality of this process. Using a quantum computer, it should be possible to perform this on a scale that was hitherto impossible.

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