Cannot cast type to IntegerType
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python bridge
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Description
Required prerequisites
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Describe the bug
This executes fine:
import cudaq
from cudaq import spin
from typing import List
vector = [1.0]
@cudaq.kernel
def kernel(vector: List[float]):
q = cudaq.qvector(1)
if vector[0] == 1:
x(q[0])
cudaq.observe(kernel, spin.z(0), vector).expectation()
If I change if vector[0] == 1 to if vector[0] == 1.0 which is what it should be given that my input type is a List[float], I get the following error:
ValueError: Cannot cast type to IntegerType (from Type(f64))
Steps to reproduce the bug
NA
Expected behavior
NA
Is this a regression? If it is, put the last known working version (or commit) here.
Not a regression
Environment
- CUDA Quantum version:
- Python version:
- C++ compiler:
- Operating system:
Suggestions
NA
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
Start by running the supplied Python kernel and the comparison in the issue, recording the CUDA Quantum, Python, compiler, and operating-system versions that are currently missing. Trace the handling of the float comparison and its reported IntegerType cast; the work is done when the 1.0 comparison executes successfully and the behavior is covered by a regression test.
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
- 32/100