NVIDIA
NVIDIA
CUDA-Q (nightly)
Container
NVIDIA
NVIDIA
CUDA-Q (nightly)

Pre-release versions of CUDA Quantum. This container includes features that are currently under development.

LayerLabelCreated
97f9fe12581c3cf797a9ccdc3ab80760b5d339fc2010bcae002ad2151441dde9CONFIG
Entrypoint bash -l; WorkingDir /home/cudaq
09/26/2025 11:38 PM UTC
a11fd75d044728ba308ee8062e831ff731dae180305fd00191a55b852ad6e558RUN
assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c chown -R cudaq /home/cudaq &&
  chgrp -R cudaq /home/cudaq
09/26/2025 11:38 PM UTC
cbbabc5ae3d7a7d015ff8dccade1e264f39d2b4ea17794341927766daf29b14fRUN
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 "$CUDA_QUANTUM_PATH/bin/jupyter-lab-setup"
09/26/2025 11:38 PM UTC
7bf839ad6df5c748cf1fcea9ba6bf936fce545fd562320b3abe7b4452caaffc1RUN
assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c echo -e '#! /bin/bash \n    if [ ! -x "$(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"
09/26/2025 11:38 PM UTC
2fd4885dcb57bcad695fdf2842803288bbb062fc09d7d09f07a2f09c31dbe37cCOPY
docker/release/config/.vscode /home/cudaq/.vscode
09/26/2025 11:38 PM UTC
cbb070c1a38ed465a5a8c41f14b6ef5aeda378e615f4884d2244d886952ec85aARG
vscode_config=docker/release/config/.vscode
09/26/2025 11:38 PM UTC
d70dd3bcab7214a96aefa6a9b9cbb0d719bb812e6dababa83739945369efb163RUN
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
09/26/2025 11:38 PM UTC
781ffe1c7c722f872434977d76d1db5dac3625db836ba5c5c6fe10a660278302RUN
assets=assets /bin/bash -c cuda_version_suffix=$(echo ${CUDA_VERSION} | tr . -) &&
  for cudart_dependency in libcusolver libcusparse libcublas libcurand cuda-cudart cuda-nvrtc; do if [ -z "$(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
09/26/2025 11:37 PM UTC
f95784424c568bfbfce75358a91a0781947b973c555953a308487c8928569241RUN
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"
09/26/2025 11:37 PM UTC
b93dc6b20fc8d954edee1c0bba5d869c29617ae4e26d234be5ffd42ccd18a3f9RUN
assets=assets /bin/bash -c rm "$CUDA_QUANTUM_PATH/build_info.txt"
09/26/2025 11:37 PM UTC
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