This is paper was published in Nature last month [0]. It mainly focuses on machine learning algorithms for near-term universal quantum computers (tens to hundreds of qubits). It also talks about machine learning algorithms for quantum annealers like D-Wave's.<p>[0]:<a href="http://www.nature.com/nature/journal/v549/n7671/full/nature23474.html" rel="nofollow">http://www.nature.com/nature/journal/v549/n7671/full/nature2...</a>
Meanwhile Google already has their Quantum AI lab. They're busy with Numerics Flow, a Tensor Flow-like quantum machine learning framework which looks great.
Anybody else active in this field?
Why is a summary of what actual scientists are doing important enough to get published? I'm not quite sure what this paper is doing but maybe I don't get it as the scientists all seem very smart.