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
8e409571d4f87ab17b6b13a47ddfdc5cba606571fbc64717ebdbb75630befbe8CONFIG
Entrypoint bash -l; WorkingDir /home/cudaq
07/14/2025 3:35 PM UTC
9e06a4d20fceba8e2a500d40498db69b97cfb4f28edb92fe9c9da29234c7204aRUN
assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c chown -R cudaq /home/cudaq &&
  chgrp -R cudaq /home/cudaq
07/14/2025 3:35 PM UTC
8d564de22e5791c50bdc1f0f9c3be9c76f3ee6bb68a6e65a581293542e0b4fe5RUN
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 "$CUDA_QUANTUM_PATH/bin/jupyter-lab-setup"
07/14/2025 3:35 PM UTC
6c3c9ed5fff76a6f8714c7c2483a7b817811bc69fc262de7034a3b2dc32b367fRUN
assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c echo -e '#! /bin/bash \n    if [ ! -x "$(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"
07/14/2025 3:35 PM UTC
80b301fc151676a36b0745b4c96f9247e62b8c50c90442c796afa50c87de566dCOPY
docker/release/config/.vscode /home/cudaq/.vscode
07/14/2025 3:35 PM UTC
87f1e951a352cf044bbd96728c21310d31164aca0ef1962a2825f41ae6c2f2d0ARG
vscode_config=docker/release/config/.vscode
07/14/2025 3:35 PM UTC
f350d2d05dff927af8fcaddcf3ec79d8da80cb1af4ed7771a639151d566326baRUN
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
07/14/2025 3:35 PM UTC
a394c01f3dec5e0859eec092d15c10a33f7914e70c3e98c6cc6fcd384fe2af1cRUN
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
07/14/2025 3:35 PM UTC
06738bd7d68fe89bb9c1554a0916fe7246e363e7b37847a725f4ff63b0771f67RUN
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"
07/14/2025 3:34 PM UTC
c1eca0cb9747becfcc8c61fc950006bcd3b3b1756297d1df718c37bec4282455RUN
assets=assets /bin/bash -c rm "$CUDA_QUANTUM_PATH/build_info.txt"
07/14/2025 3:34 PM UTC
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