CUDA-Q is an open-source platform for developing hybrid quantum-classical applications using a unified programming model across CPUs, GPUs, and quantum processing units. It provides a full toolchain that includes compilers, runtimes, and libraries for writing quantum programs in both C++ and Python. The platform is designed to be hardware-agnostic, allowing developers to run applications on different quantum backends or simulate them efficiently using GPU acceleration when physical quantum hardware is unavailable. It enables complex workflows where classical and quantum computations are tightly integrated, supporting advanced research and real-world applications in quantum computing. The repository includes components such as the nvq++ compiler and runtime systems that manage execution across heterogeneous environments.
Features
- Hybrid quantum-classical programming model
- Support for C++ and Python development
- Integration of CPU, GPU, and QPU resources
- Hardware-agnostic execution across quantum backends
- GPU-accelerated simulation of quantum circuits
- Full toolchain including compiler and runtime systems