NVIDIA
NVIDIA
CUDA-Q
Container
NVIDIA
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
05/15/2025 9:59 PM UTC
sha256:aece8493d3972efa43bfd4ee3cdba659c0f787f8f59c82fb3e48c87cbb22a12eRUN
assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c chown -R cudaq /home/cudaq &&
  chgrp -R cudaq /home/cudaq
05/15/2025 9:59 PM UTC
sha256:5e3b7ee7738140e8f4608c3945b6e1ed4f9fb75db53a04e19ba0a6661e7cc4feRUN
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 "$CUDA_QUANTUM_PATH/bin/jupyter-lab-setup"
05/15/2025 9:59 PM UTC
sha256:5bd037f007fdda13ae5a5f43a199d6677db1f9059c2980c84726e3a43fab169aRUN
assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c echo -e '#! /bin/bash \n    if [ ! -x "$(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"
05/15/2025 9:59 PM UTC
sha256:4cda774ad2ecef28c9a1cd97594f7199071c83769f91c5d109eb1cb6770ecdffCOPY
docker/release/config/.vscode /home/cudaq/.vscode
05/15/2025 9:59 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
vscode_config=docker/release/config/.vscode
05/15/2025 9:59 PM UTC
sha256:775f22adee620daec0db645bad7027db4c1ecf22520412e1b2466fc73d54d19bRUN
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
05/15/2025 9:59 PM UTC
sha256:263fc748118f7937f811e3e9c9355318db07dd2dd1dccc370dadaa7d0b5ed692RUN
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
05/15/2025 9:58 PM UTC
sha256:16c36d0187d03bd0de84d870ded86c45fabd78f4bfdb2ed90177e5fc4dd33d11RUN
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"
05/15/2025 9:58 PM UTC
sha256:e7a56570655c990ecc804c77873efc83f9a6c31064e3e8a5dc02430213f2d74cRUN
assets=assets /bin/bash -c rm "$CUDA_QUANTUM_PATH/build_info.txt"
05/15/2025 9:58 PM UTC
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