Simulated annealing is applied for deep learning using convolutional neural networks. Likewise, can quantum annealing be used?
These two papers:
have both used the annealing technique for optimization of the problems but with different learning types. Therefore, my concern is whether quantum annealing can be applied for convolutional neural networks as well as or not.
If yes, then how? If no, then why not?
Any reference or related theories or work will be a great help.