NVIDIA/cuda-quantum

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

About the project

CUDA-Q is a programming platform for hybrid quantum-classical systems that combines quantum processing units with GPUs and CPUs. Developers and researchers use its C++ and Python tools, compiler, runtime, and hardware backends to build and test quantum applications. The catalogue skills support development with CUDA-Q.

1.2kStars on the repository

2Mods indexed here, across every type

todayLast push, which is what freshness is scored on

Apache-2.0Licence, which decides whether bodies are shown

Sort Relevance Recently updated Fewest tokens Security grade Repo stars Stars this week Top rated 2 mods

cudaq-guide

NVIDIA/cuda-quantum

Skill Claude CodeCodex ✓ vendor

Use for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance.

not rated 1.2k +3 changed 1mo ago A SkillSpector: pass 26 tokens original Apache-2.0

cudaq-importing

NVIDIA/cuda-quantum

Skill Claude CodeCodex ✓ vendor

Use when porting circuits from another framework (e.g. Qiskit) into CUDA-Q kernels while preserving the source algorithm and validation fidelity.

not rated 1.2k +3 changed 1mo ago A 34 tokens copy · 100% Apache-2.0