Quantum Circuit Learning implementation#158
Open
dawidkopczyk wants to merge 3 commits intorigetti:masterfrom
Open
Quantum Circuit Learning implementation#158dawidkopczyk wants to merge 3 commits intorigetti:masterfrom
dawidkopczyk wants to merge 3 commits intorigetti:masterfrom
Conversation
Contributor
|
@dawidkopczyk Awesome! Thank you for the PR! I'll try to get to leaving some remarks in the next few days - looking forward to playing with this code! |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Hi, with this commit I have included Quantum Circuit Learning implementation according to the paper https://arxiv.org/abs/1803.00745.
Additionally, docs with simple regression and classification examples are included.
Since, the execution of the program is quite long (there are many expectation values to be calculated for predictions and gradients), the code is adjusted only to QVM.
Feel free to drop any remarks.