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Simulated annealing is applied for deep learning using convolutional neural networks. Likewise, can quantum annealing be used?

These two papers:

Simulated Annealing Algorithm for Deep Learning (Rere

*et al.*, 2015)Application of Quantum Annealing to Training of Deep Neural Networks (Adachi & Henderson, 2015)

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.

Hi, Aasish. Welcome to Quantum Computing SE! Please note that it's good etiquette to link to the abstract of a paper rather than the PDF version. Also, use appropriate tags for your questions. Please review How to write a good question? I've [edit]ed your question

– Sanchayan Dutta – 2019-01-08T09:11:52.523this timebut it would be quite annoying for us to do it on your behalfevery time.Thanks @Blue for the edit. Yes, I am learning. – Aasish Kr. Sharma – 2019-01-08T09:15:09.803