This repository is just an entry point to easily set up and familiarize anyone with CUDA-Q on either TWCC or Colab.
To explore the full capabilities and in-depth information of CUDA-Q, see the documentation.
For more advanced tutorials, please refer to the examples in the NVIDIA official GitHub:
Taiwan Computing Cloud (TWCC) is a high-performance computing service/portal backed by the National Center for High-Performance Computing (NCHC). The CUDA-Q container is pre-installed in the TWCC infrastructure and can be easily set up through the user-friendly WebUI.
Colab is a cloud-based Jupyter Notebook environment providing free access to GPUs. This repository includes minimal dependencies to simply install CUDA-Q via PyPI.
Publications for academic citations:
- CUDA Quantum: The Platform for Integrated Quantum-Classical Computing
- cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science
NVIDIA Technical Blog:
*Disclaimer: This is not an official NVIDIA product.
*Reminder: Please refer to official https://github.com/NVIDIA/cuda-quantum/tree/main to learn more information.