Numpy types are allowed in kernel signatures but not created as such during return
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Description
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Describe the bug
Even though we allow to use numpy integers and floating point types in kernel signatures, the returned value is always a standard type. Kernels respect the requested bitwidths passed for arguments, but return values are not handled properly to respect it.
Steps to reproduce the bug
There are some test cases in the code with a link to this issue posted.
Expected behavior
We should create the appropriate numpy values.
Is this a regression? If it is, put the last known working version (or commit) here.
Not a regression
Environment
- CUDA-Q version: latest main (as of https://github.com/NVIDIA/cuda-quantum/pull/3489)
- Python version: N/A
- C++ compiler: N/A
- Operating system: N/A
Suggestions
No response
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
Locate the test cases in the code that reference issue 3524, then trace the kernel return-value path for NumPy integer and floating-point signatures. Compare it with argument handling and verify that returned values preserve the requested NumPy type and bitwidth; done means the relevant tests pass for the supported types.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp, numpy, python
- Domain
- backend-api-design
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100