PennyLaneAI / PennyLaneAI/catalyst
Use adjoint method as default grad method with lightning
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 234
- Forks
- 84
- Avg merge
- 2d 15h
- Merged PRs (30d)
- 66
Description
For compatibility reasons, the diff method in catalyst is set to parameter-shift when the user selects diff_method="best". The performance will generally suffer significantly on simulators as a result of this. Implement a device-aware choice to select adjoint if the device supports it.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Trace how Catalyst handles diff_method="best" and where device capabilities are checked. Implement the device-aware selection so supported devices use adjoint while others retain parameter-shift, then verify both paths with the relevant tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- compilers
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100