I saw the CuMn reference and thought they're leveraging quantum spin dynamics in glass alloys.
It's not quantum parallelism but quantum annealing that I was referring to. Very different models of computation.
So this seems to be about neuromorphic computing, not quantum annealing. In that case, the question about why would this be better than GPU models of computation is very valid. Maybe cheaper and less energy? But I doubt that it would be practical if it significantly underperforms in comparison.
It's not quantum parallelism but quantum annealing that I was referring to. Very different models of computation.
So this seems to be about neuromorphic computing, not quantum annealing. In that case, the question about why would this be better than GPU models of computation is very valid. Maybe cheaper and less energy? But I doubt that it would be practical if it significantly underperforms in comparison.
EDIT: https://arstechnica.com/science/2019/10/what-problems-can-yo...
If you down-vote, please explain. Else, what's the benefit?