C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
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+29
STARS · LAST 30 DAYS
1
PER DAY
#247
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +29 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +2 | +9 | +23 |
cuda-quantum gained 29 stars in the last 30 days, about 1 a day, and now has 1.1K. It is about 4 years old and has averaged roughly 287 stars a year. It ranks #247 among C++ repositories and #3,369 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#3759
BEST RANK
Oct 1, 2026
FIRST APPEARANCE
Active
STATUS TODAY
cuda-quantum has maintained a continuous presence across global trending indexes, peaking at #3759. Below is the 30-day activity profile:
💡 Overview
cuda-quantum is an open-source project written in C++: C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows.
Engineered for speed, consistency, and developer ease, it solves common hurdles in cpp, hacktoberfest, python. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in C++ for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/NVIDIA/cuda-quantum.git
cd cuda-quantum⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
cuda-quantum coordinates its core functionality through a modular C++ pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Production System Integration
Embed cuda-quantum into C++ backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open Apache-2.0 license.
🚀 Getting Started
Install cuda-quantum using your package manager: `git clone https://github.com/NVIDIA/cuda-quantum.git`
Initialize your project workspace or configuration file for cuda-quantum.
Import cuda-quantum into your codebase or invoke it directly from your terminal.
Execute your test suite or run `cuda-quantum --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
NVIDIA/cuda-quantum is currently ranked #3,369 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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| #3,369 | NVIDIA/cuda-quantum This Project | C++ | ★ 1.1K | |
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Frequently Asked Questions
What does cuda-quantum do? +
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
What language is cuda-quantum written in? +
The primary language is C++. Topics include: cpp, hacktoberfest, python, quantum, quantum-algorithms.
Is cuda-quantum actively maintained? +
Yes, the last recorded push was on Oct 1, 2026 with 546 open issues being tracked.
How many stars does cuda-quantum have? +
cuda-quantum has 1,148 stars and 468 forks on GitHub.
How does cuda-quantum rank among GitHub repositories? +
With 1,148 stars, NVIDIA/cuda-quantum is ranked #3,369 globally across all repositories tracked on GitHubRepo and #247 among C++ projects.
What license is cuda-quantum distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
