# NVIDIA/cuda-quantum > The CUDA-Q platform for hybrid quantum-classical computing: the nvq++ compiler, runtime, and CPU/GPU/QPU backends with C++ and Python support. - Magnitude: 0.5 out of 10 — Quiet - Stars: 1,145 total · +0 stars on 2026-09-27 (UTC), ≈ 0 by evening - Star trust: star growth looks organic - Category: Science & research · Language: C++ · License: Apache-2.0 · Created: 2023-03-14 · Last push: 2026-09-25 - GitHub: https://github.com/NVIDIA/cuda-quantum · Homepage: https://nvidia.github.io/cuda-quantum/ · Page: https://gitnova.dev/en/r/NVIDIA/cuda-quantum ## 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 ## Why it’s here - A steady background without notable changes. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 464 - Issues and pull requests: 5,373 - Watchers: 23 - Average over the last week: 1 per day - Usual pace: 1 per day - Latest release: 0.16.0 (2026-09-12) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-10-04 … 2026-11-02: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None ## Magnitude by day, last 12 days 09-16 0.9, 09-17 1.3, 09-18 1.2, 09-19 0.2, 09-20 0.4, 09-21 0.5, 09-22 0.6, 09-23 0.1, 09-24 0.5, 09-25 0.2, 09-26 0.6, 09-27 0.6 --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-27 10:46 UTC, updated every 30 minutes.