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[Python] Unable to find kernel when calling from inside another kernel #2346

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boschmitt opened this issue Nov 1, 2024 · 0 comments
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python-lang Anything related to the Python CUDA Quantum language implementation

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@boschmitt
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  • If possible, make a PR with a failing test to give us a starting point to work on!

Describe the bug

This bug might be related to #2344. In that issue, CUDA-Q is able to find a kernel when it shouldn't. Here it is not able to find the kernel when it should.

Steps to reproduce the bug

Take the following directory structure:

|-- foo/
|   |-- bar/
|   |   |-- zaz.py
|   |
|   |-- __init__.py
|
|-- main.py

Where foo/bar/zaz.py contains:

import cudaq

@cudaq.kernel
def kernel():
    cudaq.qubit()

foo/bar/__init__.py contains:

from .bar import zaz

main.py contains:

from foo import bar
import cudaq

@cudaq.kernel
def test0():
    bar.zaz.kernel()

counts = cudaq.sample(test0)
print(counts)

Running the code python main.py outputs:

cudaq.kernel.ast_bridge.CompilerError: main.py:6: error: bar.zaz.kernel is not a valid quantum kernel to call.
	 (offending source -> bar.zaz.kernel())

Interestingly, using foo.bar.zaz.kernel() or only kernel() will make it work. (Likely because of #2344)

Expected behavior

This kernel should correctly execute.

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

Not a regression

Environment

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@schweitzpgi schweitzpgi added the python-lang Anything related to the Python CUDA Quantum language implementation label Nov 19, 2024
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