QNN for Regression - Githubissues

asymptoticgains commented 5 months ago

Please complete the following checklist when submitting a PR:

[ ] Ensure that your tutorial executes correctly, and conforms to the guidelines specified in the README.
[ ] Remember to do a grammar check of the content you include.
[ ] All tutorials conform to PEP8 standards. To auto format files, simply pip install black, and then run black -l 100 path/to/file.py.

When all the above are checked, delete everything above the dashed line and fill in the pull request template.

Title:

Summary:

Relevant references:

Possible Drawbacks:

Related GitHub Issues:

If you are writing a demonstration, please answer these questions to facilitate the marketing process.

GOALS — Why are we working on this now?

Eg. Promote a new PL feature or show a PL implementation of a recent paper.
AUDIENCE — Who is this for?

Eg. Chemistry researchers, PL educators, beginners in quantum computing.
KEYWORDS — What words should be included in the marketing post?
Which of the following types of documentation is most similar to your file? (more details here)
[ ] Tutorial
[ ] Demo
[ ] How-to

github-actions[bot] commented 2 months ago

Thank you for opening this pull request.

You can find the built site at this link.

Deployment Info:

Pull Request ID: 1099
Deployment SHA: eb1025b9bf61ee10ecf61d04f7138db386a34e80 (The Deployment SHA refers to the latest commit hash the docs were built from)

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gmlejarza commented 2 months ago

My author "id" is missing somewhere and the "demo preview" doesn't render my name in the authors section

ikurecic commented 4 weeks ago

[sc-63360]

PennyLaneAI / qml