PennyLaneAI / qml

Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
https://pennylane.ai/qml
Apache License 2.0
512 stars 182 forks source link

[WIP] [g-sim 3] (g + P)-sim #1118

Closed Qottmann closed 3 weeks ago

Qottmann commented 1 month ago

Merged the approach from https://github.com/PennyLaneAI/qml/pull/1106 with the branching approach here. This has neater illustrations anyway 👍

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

[sc-62859]

github-actions[bot] commented 1 month ago

👋 Hey, looks like you've updated some demos!

🐘 Don't forget to update the dateOfLastModification in the associated metadata files so your changes are reflected in Glass Onion (search and recommendations).

Please hide this comment once the field(s) are updated. Thanks!

github-actions[bot] commented 1 month ago

Thank you for opening this pull request.

You can find the built site at this link.

Deployment Info:

Note: It may take several minutes for updates to this pull request to be reflected on the deployed site.

Qottmann commented 1 month ago

In the end I managed to combine both approaches into one, as they are effectlvely the same. The branching one is nice to understand the underlying transformations and the required maximum moment order. The g-sim in moment vector spaces approach is more practical and what one would do in the end, though I finally argue based on some scaling numbers that this approach is overall of limited practical utility and should be understood as a mere theoretical insight.