NVIDIA / NVIDIA/cuda-quantum

List of callables as an input to the kernel raises an error

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Description

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Describe the bug

I can use a callable as an input to the kernel, but the list of callables raises an error.

RuntimeError: kernel argument type is 'list' but argument provided is not (argument 0, value=module {
  func.func @__nvqpp__mlirgen__X(%arg0: !quake.ref) attributes {"cudaq-kernel"} {
    quake.x %arg0 : (!quake.ref) -> ()
    return
  }
}
, type=<class 'cudaq.kernel.kernel_decorator.PyKernelDecorator'>).
Steps to reproduce the bug
import cudaq
from typing import Callable

@cudaq.kernel
def X(q : cudaq.qubit):
  x(q)

@cudaq.kernel
def kernel(f: list[Callable[[cudaq.qubit], None]]):
    q = cudaq.qvector(2)
    f[0](q[0])
    f[1](q[1])

result = cudaq.sample(kernel, [X,X])
print(result)
Expected behavior

The kernel should be able to accept a list of callables.

Is this a regression? If it is, put the last known working version (or commit) here.

Not a regression

Environment
  • CUDA-Q version:
  • Python version:
  • C++ compiler:
  • Operating system:
Suggestions

No response

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First steps

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  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the Python reproducer using @cudaq.kernel and cudaq.sample, comparing the working single-callable case with the failing list[Callable] argument. Confirm that sampling a kernel accepting [X, X] succeeds without the reported kernel argument type error; the payload does not identify a source file or test to run.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
quantum-computing
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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