CUDA-Q — освоение квантово-классической платформы NVIDIA

★ 7.6 · content

cudaq-guide is a Claude Code skill that walks users through the CUDA-Q platform — NVIDIA's unified quantum-classical programming model for CPUs, GPUs, and QPUs. It covers six routable topics: installation, writing and running a first quantum kernel, GPU-accelerated simulation, connecting to real QPU hardware, built-in applications, and parallelizing circuits across multiple QPUs. The skill reads local CUDA-Q documentation using Read, Glob, and Grep tools, supports Python 3.10+ and C++20, and handles Linux, macOS (Apple Silicon, CPU-only), and WSL on Windows. It is aimed at developers getting started with quantum computing on NVIDIA hardware or moving from simulation to actual QPU backends.