# NVIDIA CUDA-Q

> CUDA-Q streamlines hybrid application development and promotes productivity and scalability in quantum computing. It offers a hybrid programming model designed for a setting where CPUs, GPUs, and QPUs work together. CUDA-Q contains support for programming in Python and in C++.

## Docs

- [Quick Start](latest/using/quick_start.md)

## API

- [API Reference](latest/api/api.md)

## Examples

- [Basics](latest/using/basics/basics.md)
- [Examples](latest/using/examples/examples.md)
- [Applications](latest/using/applications.md)
- [Backends](latest/using/backends/backends.md)
- [Dynamics](latest/using/dynamics.md)
- [CUDA-QX](latest/using/cudaqx/cudaqx.md)
- [Release Notes](latest/releases.md)

## Optional

- [Installation](latest/using/install/install.md)
- [Integration](latest/using/integration/integration.md)
- [Extending](latest/using/extending/extending.md)
- [Specifications](latest/specification/index.md)
- [llms-full.txt](latest/llms-full.txt): Full concatenated content of this documentation