cudaq-guide

To install CUDA-Q, route the onboarding guide with the install argument to get operating system-specific steps, then execute the Bell state kernel validation to confirm your quantum computing environment is correctly configured.

mgpu parallelization utilizes multiple GPUs for a single simulation, while mqpu distributes workloads across multiple QPU simulators. Choosing between them depends on whether your scaling goal requires deep circuit execution or broad parallel kernel batching.

GPU-accelerated quantum simulation in CUDA-Q is executed by routing the guide to the GPU simulation topic, which compares available simulation targets and recommends the appropriate backend for running your quantum kernels.

Selecting a QPU hardware provider for CUDA-Q kernel execution involves using the guide's two-step QPU provider selection flow, which routes you through decision support to match your quantum computing requirements with available hardware backends.

CUDA-Q onboarding provides a practical workflow for writing a minimal working quantum kernel and progressing to QPU hardware execution, requiring only a single routing argument to guide beginners through installation and kernel basics.

Use GPU simulation targets for accelerated local testing and comparing execution options, and transition to real QPU hardware execution when you need to validate quantum kernels on actual physical quantum processing units.