NVIDIA/cuda-quantum
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
About the project
The CUDA-Q platform for hybrid quantum-classical computing: the nvq++ compiler, runtime, and CPU/GPU/QPU backends with C++ and Python support.
Useful for
- Compile a C++ quantum program with nvq++ and run it on a GPU simulator
- Write a hybrid quantum-classical algorithm in Python using CUDA-Q
- Build CUDA-Q from source to test custom backends
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- A steady background without notable changes.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 1,141
- Stars in a day
- 0
- Forks
- 456
- Issues and pull requests
- 5,334
- Watchers
- 23
- Language
- C++
- License
- Apache-2.0
- Latest release
- 0.16.0 · September 12, 2026
- Created
- March 14, 2023
- Last push
- September 18, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 17, 2026GitHub Trending C++ today: #21, +1 star
- September 16, 2026GitHub Trending C++ today: #21, +2 stars
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