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README.md

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Welcome to the CUDA-Q Libraries repository

This repository contains a set of prototype application libraries that build off of NVIDIA CUDA-Q. These libraries enable the development of hybrid quantum-classical application code leveraging state-of-the-art CPUs, GPUs, and QPUs.

License

The code in this repository is licensed under Apache License 2.0.

Contributing a pull request to this repository requires accepting the Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. A CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately. Simply follow the instructions provided by the bot. You will only need to do this once.

Build

This library requires the cudaqlib branch at this fork.

export CC=gcc-12
export CXX=g++-12

git clone -b cudaqlib https://github.com/amccaskey/cuda-quantum 
cd cuda-quantum && mkdir build && cd build 
cmake .. -G Ninja \
   -DLLVM_DIR=/opt/llvm/lib/cmake/llvm \
   -DCUDAQ_ENABLE_PYTHON=TRUE -DCMAKE_INSTALL_PREFIX=$HOME/.cudaq 
ninja install 

apt-get install libblas-dev gfortran
git clone https://github.com/cudaq-libraries/cudaqlib
cd cudaqlib && mkdir build && cd build 
cmake .. -G Ninja -DCUDAQ_DIR=$HOME/.cudaq/lib/cmake/cudaq 
ninja 
export PYTHONPATH=$HOME/.cudaq:$PWD/python/cudaqlib
ctest