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
07/31/2025 5:45 PM UTC
sha256:0aa7fefd6f04352b8ca4903d9493cda00663ee651dbcd0e6efd3eeaf4c316acfRUN
assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c chown -R cudaq /home/cudaq &&
  chgrp -R cudaq /home/cudaq
07/31/2025 5:45 PM UTC
sha256:56eb3b6f8132c9a2ebdc67fa9496aebfe5a8b916c7a353967259f04b95a92113RUN
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 "$CUDA_QUANTUM_PATH/bin/jupyter-lab-setup"
07/31/2025 5:45 PM UTC
sha256:7e9fca28ed53114196b8fae8d1c9c96d6fe5e904ffd9ff15fefd1097c72be591RUN
assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c echo -e '#! /bin/bash \n    if [ ! -x "$(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"
07/31/2025 5:45 PM UTC
sha256:2e2186d970682757369ac2283e9b4248bb773b045d05ec5a45dc3db75fed7b3dCOPY
docker/release/config/.vscode /home/cudaq/.vscode
07/31/2025 5:45 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
vscode_config=docker/release/config/.vscode
07/31/2025 5:45 PM UTC
sha256:33716340cd90add06a29fb48e1d8c6f3e148d47ce6e8f997056a2ef0185dc195RUN
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
07/31/2025 5:45 PM UTC
sha256:50ea20bacbb116542f3efa7a70e2b4cff29c805a59c312822d0877da2505139cRUN
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
07/31/2025 5:44 PM UTC
sha256:a9b38843426cf1af7bdc4a0dbbc0ae25ff97e1f71335060a6526d6d64e3f093dRUN
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"
07/31/2025 5:44 PM UTC
sha256:d015927a5a7c4138cd9ee65a74589e651374b6b2a0a34118ea9e569c16540170RUN
assets=assets /bin/bash -c rm "$CUDA_QUANTUM_PATH/build_info.txt"
07/31/2025 5:44 PM UTC
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