translate between cuda-q kernels and pytket circuits
Open
Nobody has claimed this yet.
enhancement
stale-notified
- Dominant language
- C++
- Stars
- 1.1k
- Forks
- 456
- Avg merge
- 1d 22h
- Merged PRs (30d)
- 165
Description
Required prerequisites
- Search the issue tracker to check if your feature has already been mentioned or rejected in other issues.
Describe the feature
can cuda-q and pytket work together? E.g. can we take a pytket circuit and easily turn it into a cuda-q kernel?
I have no immediate use case for this, but it occurred to me as I was reading a paper that I might want to try to implement in cuda-q, but was written with pytket.
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
The issue names CUDA-Q and pytket but no files, tests, or entry points. Start by locating the existing CUDA-Q circuit and kernel interfaces and reviewing how pytket represents circuits. Define the supported conversion scope and validation criteria before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp, python
- Domain
- quantum-computing
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100