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cudaq-guide

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

skills/cudaq-guide/SKILL.md

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# CUDA-Q Guide

## Purpose

Guide users through CUDA-Q installation, basic kernels, GPU simulation targets,
QPU access, built-in applications, multi-GPU execution, and Python
`@cudaq.kernel` authoring. For Qiskit-to-CUDA-Q ports, route to the
`cudaq-importing` skill instead.

## Prerequisites

- Python 3.10+ for Python CUDA-Q workflows.
- CUDA Toolkit and an NVIDIA GPU for GPU-accelerated targets on Linux.
- CPU-only simulation is available through `qpp-cpu`; macOS is CPU-only.