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
    11/16/2024 12:53 PM UTC
    sha256:2af15eda20a03aa3a2afbe81557264bffd5144f3b895e37c7c04b512ca45b215RUN
    assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c chown -R cudaq /home/cudaq &&
      chgrp -R cudaq /home/cudaq
    11/16/2024 12:53 PM UTC
    sha256:8d6f819c040c454075360cff17b60d559094c70441cdf1f8c11b50dd0c4f6facRUN
    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 "$CUDA_QUANTUM_PATH/bin/jupyter-lab-setup"
    11/16/2024 12:53 PM UTC
    sha256:d8007038f6f119dc73cead09a9efb4d60299c0dbef65992d5e4a6dc230ed4b9fRUN
    assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c echo -e '#! /bin/bash \n    if [ ! -x "$(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"
    11/16/2024 12:53 PM UTC
    sha256:c2fa2557ef29da86c8560f291cdc5b1a371792bb21192b920035172e9c4f37beCOPY
    docker/release/config/.vscode /home/cudaq/.vscode
    11/16/2024 12:53 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    vscode_config=docker/release/config/.vscode
    11/16/2024 12:53 PM UTC
    sha256:50d8c11a155386dd2b8521d05240d779f2b11577030e9f35adfd71cf3c4c76a1RUN
    assets=assets /bin/bash -c if [ -x "$(command -v pip)" ]; then apt-get install -y --no-install-recommends gcc libpython3-dev &&
      pip install --no-cache-dir jupyterlab; if [ -n "$MPI_ROOT" ]; then pip install --no-cache-dir mpi4py~=3.1; fi; fi
    11/16/2024 12:53 PM UTC
    sha256:bf64ac6e90ae3541a5682ed16fdd06a76a57ebb599a62d7e9a648da31533b0e7RUN
    assets=assets /bin/bash -c cuda_version_suffix=$(echo ${CUDA_VERSION} | tr . -) &&
      for cudart_dependency in libcusolver libcublas cuda-cudart; do if [ -z "$(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
    11/16/2024 12:52 PM UTC
    sha256:a6d9fd32979a8761043ada62e0b25bed0ba8df995ede311b09f813254a62759bRUN
    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"
    11/16/2024 12:52 PM UTC
    sha256:cf3d893178d3c5b6b494857addc55f381238bf7a94e6cc82b7a28e69343fb84dRUN
    assets=assets /bin/bash -c rm "$CUDA_QUANTUM_PATH/build_info.txt"
    11/16/2024 12:52 PM UTC
    ...