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
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4USER
cudaq
07/12/2025 10:06 PM UTC
sha256:aaedc8f2c6d45abf23f1cf0870d709cfe65a48d79aab069dc980e7a14aa0b4eaRUN
assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c chown -R cudaq /home/cudaq &&
  chgrp -R cudaq /home/cudaq
07/12/2025 10:06 PM UTC
sha256:387d896d0e1c3f251b67dd6340dc131e9020d4d7b65dfcea528797fa878917d9RUN
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 "$CUDA_QUANTUM_PATH/bin/jupyter-lab-setup"
07/12/2025 10:06 PM UTC
sha256:608acc3d7086b090988ff758cbb40499b7136543d3d7c9b45b4966151dcefab5RUN
assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c echo -e '#! /bin/bash \n    if [ ! -x "$(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"
07/12/2025 10:06 PM UTC
sha256:f76dc67fa2c6f649c4c62779eb07542c1c6af51fd6303725f714688e6c51f8b6COPY
docker/release/config/.vscode /home/cudaq/.vscode
07/12/2025 10:06 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
vscode_config=docker/release/config/.vscode
07/12/2025 10:06 PM UTC
sha256:3aa933d41ca1f97352aed65ae95e95cd414e45df17a2e2537dc4b7fdca626c61RUN
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
07/12/2025 10:06 PM UTC
sha256:8549c48d03b1f85c4646a0f1f678d0070cdd005040e0bd2e420a26abe3a71a2cRUN
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
07/12/2025 10:01 PM UTC
sha256:442dbee9b04612625a6aaa4e7c45d3417402574d292e8eedc3343c5e17d90565RUN
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"
07/12/2025 10:00 PM UTC
sha256:d7f751d8f8b7645568afc153a5ba88e444833d593e573b4f8131d5e8df8597a9RUN
assets=assets /bin/bash -c rm "$CUDA_QUANTUM_PATH/build_info.txt"
07/12/2025 10:00 PM UTC
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