Individual skill
cudaq-importing
Use when porting circuits from another framework (e.g. Qiskit) into CUDA-Q kernels while preserving the source algorithm and validation fidelity.
skills/cudaq-importing/SKILL.md
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- Last checked
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- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- coding-agents Repository topic
- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
- omniverse Repository topic
- cuda-quantum Declared skill tag
- quantum-computing Declared skill tag
- importing Declared skill tag
- porting Declared skill tag
- migration Declared skill tag
- qiskit Declared skill tag
- kernels Declared skill tag
- nvidia Declared skill tag
- engineering Derived category
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# CUDA-Q Importing
## Purpose
Use this skill to port quantum circuits from another framework into CUDA-Q
Python kernels. This includes Qiskit code and Qiskit-style circuit construction,
as well as other framework-driven circuit builders. The goal is a framework-free
CUDA-Q port that preserves the source quantum algorithm, matches source behavior
at small test sizes, and documents any unavoidable CUDA-Q limitations.
For authoring new CUDA-Q kernels from scratch, and for CUDA-Q installation,
simulation targets, QPU access, and parallelization, use the `cudaq-guide`
skill (`/cudaq-guide author` for kernel authoring).