NVIDIA/cuda-quantum

Health v2 · maintenance only

Adoption not part of the score

1124 stars · 447 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

NVIDIA's CUDA-Q platform providing C++ and Python tools for programming heterogeneous quantum-classical workflows across QPUs, GPUs, and CPUs. It includes the nvq++ compiler, a runtime, and integrated CPU/GPU simulator backends.

Use cases

• write quantum programs in C++ or Python
• simulate quantum circuits on GPUs
• build hybrid quantum-classical algorithms
• run quantum machine learning workflows
• compile quantum kernels for real QPUs
• prototype quantum algorithms with CPU simulators

When to choose

• you need GPU-accelerated quantum circuit simulation
• you want a single framework mixing quantum and classical HPC code
• you target NVIDIA hardware or multiple QPU backends
• you want C++ performance with Python bindings

When to avoid

• you only need simple educational quantum circuit demos
• you work outside the NVIDIA/CUDA ecosystem with no GPU access
• you need a pure quantum-only framework without classical integration

Facets

framework · maturity active

programming-language compiler simulation sdk quantum-computing gpu-computing machine-learning developer-tools cpp python quantum-computing hybrid-quantum-classical qpu cuda quantum-machine-learning compiler-infrastructure linux gpu

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For agents

markdown · JSON · MCP: product_card(name="NVIDIA/cuda-quantum")