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
68795167182061b0f7e7fa9288f264af8d701713a4d2b59efd449fe6e45f0793CONFIG
Entrypoint bash -l; WorkingDir /home/cudaq
07/25/2025 1:39 PM UTC
f93be095119b646ca3b4d3be03578fbda5d096e3ba182cbfbd3d40daa1f56d72RUN
assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c chown -R cudaq /home/cudaq &&
  chgrp -R cudaq /home/cudaq
07/25/2025 1:39 PM UTC
4e0e3c6497119f9cb6a0cfbff01021b4a03efb26ffc00c2f68bab1fccbde3d27RUN
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 "$CUDA_QUANTUM_PATH/bin/jupyter-lab-setup"
07/25/2025 1:39 PM UTC
e69d9c4bfb877fa671b640add9020a6d5c6ab9f013265a78c9e3f323c7338681RUN
assets=assets vscode_config=docker/release/config/.vscode /bin/bash -c echo -e '#! /bin/bash \n    if [ ! -x "$(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"
07/25/2025 1:39 PM UTC
28546179ce4158908b40f3223d91ac35527af1c2cda4a2f790859776f4bdb8c7COPY
docker/release/config/.vscode /home/cudaq/.vscode
07/25/2025 1:39 PM UTC
e41d1a4f0f119463468d2ba8fc4814ad7fb2218660604b1b1657058c12f0c5f1ARG
vscode_config=docker/release/config/.vscode
07/25/2025 1:39 PM UTC
795879ccfe34b76664f68034d9be1deba21effb9908a1383abb73863f8fc58d0RUN
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
07/25/2025 1:39 PM UTC
b4cbfb2ea434788ff48de9f376d71bbc3bd0701a42906d8504cca02eca8931b3RUN
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
07/25/2025 1:38 PM UTC
f76eb613eb55bd214a4de87bf02f7c456a86ea96cbed32c068fe68167d0342a2RUN
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"
07/25/2025 1:38 PM UTC
5ac0c4cc0f49b04fcdcc675819ce7d847f1b945b0bffa435011b1db49bdc83b4RUN
assets=assets /bin/bash -c rm "$CUDA_QUANTUM_PATH/build_info.txt"
07/25/2025 1:38 PM UTC
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