NVIDIA
CUDA-Q
Container
NVIDIA
CUDA-Q

With a unified and open programming model, CUDA Quantum is a first-of-its-kind, open-source platform for integrated quantum-classical programming

  • LayerLabelCreated
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4USER
    cudaq
    03/18/2025 1:52 AM UTC
    sha256:b19eaa7826dfb6e62308566f4c22e4647e8683b65333ff1ec4eeec33ed8aba7bRUN
    assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c chown -R cudaq /home/cudaq &&
      chgrp -R cudaq /home/cudaq
    03/18/2025 1:52 AM UTC
    sha256:6b139d78dee278b246fffe3d9dc3a4498d7b3f189426e9c804c6c77fd8e8f8a5RUN
    assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c echo -e '#! /bin/bash \n    jupyter-lab --no-browser --ip=* --ServerApp.allow_origin=* --IdentityProvider.token="$@" \n    ' > "$CUDA_QUANTUM_PATH/bin/jupyter-lab-setup" &&
      chmod +x "$CUDA_QUANTUM_PATH/bin/jupyter-lab-setup"
    03/18/2025 1:52 AM UTC
    sha256:2f0688ec115dd7f9055bde679c1b96eb79c341681d0b9b1bfe0d8c2fee9af129RUN
    assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c echo -e '#! /bin/bash \n    if [ ! -x "$(command -v code)" ]; then \n        os=$([ "$(uname -m)" == "aarch64" ] && echo cli-alpine-arm64 || echo cli-alpine-x64) \n        curl -Lk "https://code.visualstudio.com/sha/download?build=stable&os=$os" --output vscode_cli.tar.gz \n        tar -xf vscode_cli.tar.gz && rm vscode_cli.tar.gz && sudo mv code /usr/bin/ \n    fi \n    code "$@"' > "$CUDA_QUANTUM_PATH/bin/vscode-setup" &&
      chmod +x "$CUDA_QUANTUM_PATH/bin/vscode-setup"
    03/18/2025 1:52 AM UTC
    sha256:918252bf1d75951dde6a83ca7fc4e35741a42e854d169d417a000c14a156f5cdCOPY
    docker/release/config/.vscode /home/cudaq/.vscode
    03/18/2025 1:52 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    vscode_config=docker/release/config/.vscode
    03/18/2025 1:52 AM UTC
    sha256:6f185c05876623c24a2d85ed92dfd8790eddd6b137c5970304844d2e00ec4909RUN
    assets=assets /bin/bash -c if [ -x "$(command -v pip)" ]; then apt-get install -y --no-install-recommends gcc libpython3-dev &&
      pip install --no-cache-dir jupyterlab==4.3.4; if [ -n "$MPI_ROOT" ]; then pip install --no-cache-dir mpi4py~=3.1; fi; fi
    03/18/2025 1:52 AM UTC
    sha256:8cb133ce752e876ab2e5d953c2241e1f88d758d503d5b254b58c4ee23e42e2c7RUN
    assets=assets /bin/bash -c cuda_version_suffix=$(echo ${CUDA_VERSION} | tr . -) &&
      for cudart_dependency in libcusolver libcublas libcurand cuda-cudart cuda-nvrtc; do if [ -z "$(apt list --installed | grep -o ${cudart_dependency}-${cuda_version_suffix})" ]; then apt-get install -y --no-install-recommends ${cudart_dependency}-${cuda_version_suffix}; fi done &&
      if [ $(echo ${CUDA_VERSION} | cut -d . -f1) -gt 11 ]; then apt-get install -y --no-install-recommends libnvjitlink-${cuda_version_suffix}; fi &&
      apt-get install -y --no-install-recommends curl jq
    03/18/2025 1:51 AM UTC
    sha256:fd10ea0a1eda9fa608d8b37a6e9bd0a77321466417d81072d6dec5c652bf8af7RUN
    assets=assets /bin/bash -c if [ -d "$CUDA_QUANTUM_PATH/assets/documentation" ]; then rm -rf "$CUDA_QUANTUM_PATH/docs" &&
      mkdir -p "$CUDA_QUANTUM_PATH/docs"; mv "$CUDA_QUANTUM_PATH/assets/documentation"/* "$CUDA_QUANTUM_PATH/docs"; rmdir "$CUDA_QUANTUM_PATH/assets/documentation"; fi &&
      for folder in `find "$CUDA_QUANTUM_PATH/assets/$(uname -m)"/* -maxdepth 0 -type d -not -name cudaq`; do bash "$CUDA_QUANTUM_PATH/bin/migrate_assets.sh" -s "$folder" &&
      rm -rf "$folder"; done &&
      bash "$CUDA_QUANTUM_PATH/bin/migrate_assets.sh" -s "$CUDA_QUANTUM_PATH/assets/$(uname -m)" &&
      rm -rf "$CUDA_QUANTUM_PATH/assets" "$CUDA_QUANTUM_PATH/bin/migrate_assets.sh"
    03/18/2025 1:51 AM UTC
    sha256:723575edacb230ee0f213ff34131cbaf1dfa980f47123dd8a40ff14f1fe0402cRUN
    assets=assets /bin/bash -c rm "$CUDA_QUANTUM_PATH/build_info.txt"
    03/18/2025 1:51 AM UTC
    ...