The last time I checked (which was a few years ago), it was much faster to simulate magnetic annealing on classical machines than to use the D-Wave --- and this is precisely what D-Wave is designed to do. I wonder whether this has changed? It is hard to quickly check this now amidst the large amount of articles decrying D-Wave for calling themselves a quantum computer.
Towards the end of this article it is noted that several "classical" machine algorithms were also used and these produced essentially the same results.
I think the question of whether one could somehow perform better or faster machine learning, or to write a 'quantum evolutionary algorithm' that perhaps converges to something better faster, is an interesting question. I haven't thought about this before.
[1]: https://www.scottaaronson.com/blog/?p=1400 [2]: https://venturebeat.com/2013/12/27/d-wave-a-multimillion-dol... [3]: http://physicsworld.com/cws/article/news/2014/jun/20/is-d-wa... [4]: https://arstechnica.com/science/2016/02/is-d-waves-quantum-p... [5]: https://www.wired.com/2014/05/quantum-computing/ [6]: https://www.nature.com/nature/journal/v550/n7676/full/nature...