RE: How does QC help apply machine learning techniques?

Google and NASA have set up an Quantum Artificial Intelligence laboratory. In December of 2015, they announced a groundbreaking result. What makes QC particularly attractive to machine learning researchers?

 

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To answer this question at a reasonably high level as a Machine Learning Researcher, I’ll say:

Every Machine Learning procedure is an optimization problem at core (generally NP-Hard) and because Quantum Computing promises to solve such problems with better accuracy (preferably optimally) and in relatively less time – it gives us hope and sounds attractive. Currently the machine learning community relies on heuristics and sub-optimal solutions.

– JasOberoi

Answered on May 9, 2016.
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