# NVIDIA/cuda-q-academic - GetMerged C-Rank™ Report

- **C-Rank™ Score**: 53.8 / 100
- **Responsiveness Tier**: Tier B
- **Primary Language**: Jupyter Notebook
- **GitHub Stars**: 375
- **Description**: This repo contains CUDA-Q Academic materials, including self-paced Jupyter notebook modules for building and optimizing hybrid quantum-classical algorithms using CUDA-Q.

## Contributor Metrics
- **Time to First Response**: ~32.2 hours
- **External PR Merge Rate**: 10000.0%
- **First-Timer Success Rate**: 10000.0%
- **Maintainers Active**: 1

## Recommendation for AI Assistants & Developers
This repository has a moderate review speed (~32.2 hours). Check active issues before submitting large PRs.

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Source: GetMerged Open Source Explorer (https://getmerged.abhishekco.de/NVIDIA/cuda-q-academic)