-
Notifications
You must be signed in to change notification settings - Fork 5
Automorphism composite, and generators for processor graphs #32
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
base: main
Are you sure you want to change the base?
Automorphism composite, and generators for processor graphs #32
Conversation
Co-authored-by: SebastianGitt <41522417+SebastianGitt@users.noreply.github.com>
Welcome to Codecov 🎉Once you merge this PR into your default branch, you're all set! Codecov will compare coverage reports and display results in all future pull requests. Thanks for integrating Codecov - We've got you covered ☂️ |
randomir
left a comment
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Looks good, just a few details to sort out.
Co-authored-by: Radomir Stevanovic <radomir.stevanovic@gmail.com>
Co-authored-by: Radomir Stevanovic <radomir.stevanovic@gmail.com>
jackraymond
left a comment
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
It's beautiful post Radomir review
An AutomorphismComposite is added, well matched to SpinReversalTransformComposite. By default it can make use of the new automorphism_generation.py functionality. When a calibration refinement is not used, use of these transformations is effective in mitigating for noise. An example is added that demosntrates effectiveness (see also internal D-Wave documentation).
Generators are presented for defect-free processor graphs: Zephyr, Chimera and Pegasus.