qiskit-to-cudaq
qiskit-to-cudaq is a Physics, mathematics & simulation skill for AI agents, published by NVIDIA in the cuda-quantum repository on GitHub. Skillspace rates qiskit-to-cudaq B (85/100) and it passed the safety scan; the rating is based on static analysis only.
Use when porting Qiskit Python circuits to CUDA-Q kernels while preserving algorithms and validation fidelity.
- Grade
- B
- Quality
- 85 / 100
- Safety
- Passed
- GitHub stars
- 1,092
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Porting between the public Qiskit and CUDA-Q frameworks
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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