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[Docker] Bump cuda 13 container to Ubuntu 26.04 - #5638

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[Docker] Bump cuda 13 container to Ubuntu 26.04#5638
mitchdz wants to merge 22 commits into
mainfrom
ubuntu-26.04

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@mitchdz

@mitchdz mitchdz commented Oct 16, 2026 •
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WIP: This PR is still going through CI for evaluation

CUDA 12 (and CUDA 13.0 to 13.2) have no Ubuntu 26.04 base images, so the CUDA 12 images stay on Ubuntu 24.04.

CUDA 13 builds now use 13.3. This does not raise the minimum CUDA 13.x requirement: 13.3-built CUDA-Q runs on driver 580.65.06+ and with CUDA 13.0 runtime libraries (tested on L4/Ada, with the sample, observe and MPS paths). One exception: PTX is emitted as ISA 9.3, so a GPU with no matching SASS (e.g. sm_120) on a 13.0 driver can't JIT it.

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CI https://github.com/NVIDIA/cuda-quantum/actions/runs/39907924929
Deployments https://github.com/NVIDIA/cuda-quantum/actions/runs/39904997296
Validation main is failing right now with realtime check #5708

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This pull request requires additional validation before any workflows can run on NVIDIA's runners.

Pull request vetters can view their responsibilities here.

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@github-actions github-actions Bot added documentation Improvements or additions to documentation build The issue related to the CUDA Quantum build realtime Related to CUDA-Q realtime CI Anything related to CI labels Oct 16, 2026
@mitchdz mitchdz changed the title [Docker] Bump cuda 13 container to Ubuntu 26.04 [WIP] [Docker] Bump cuda 13 container to Ubuntu 26.04 Oct 16, 2026
@sacpis

sacpis commented Oct 16, 2026 •
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/ok to test 2afad6a

Command Bot: Processing...

@mitchdz

mitchdz commented Oct 16, 2026

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/ok to test 2afad6a

Command Bot: Processing...

Thanks for this, I forgot to sign these commits in my branch. I just force pushed so all now have the gpg signed key.

@mitchdz

mitchdz commented Oct 16, 2026

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There's still some Validation failures I know about that I need to fix. Deployments looks good though.

@github-actions github-actions Bot added the applications Pertaining to Notebooks or any applications label Oct 16, 2026
@schweitzpgi

schweitzpgi commented Oct 16, 2026 •
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Q: is this just a "keep up" update or does it address some failures/brittleness that has crept in?

@mitchdz

mitchdz commented Oct 16, 2026

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Q: is this just a "keep up" update or does it address some failures/brittleness that has crept in?

@schweitzpgi Strictly to keep up with the latest. There is no failures that this update is addressing at the moment.

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CI Summary (workflow_dispatch) — ❌ failed

Run #40349627241 · ✅ 15 · ⏩ 2 · ❌ 1 · ⛔ 0

❌ Failed or cancelled
Job Result Link
binaries ❌ failure view
Top-level jobs (18)
Job Result
binaries ❌ failure
build_and_test ✅ success
changes ✅ success
config_devdeps ✅ success
config_source_build ✅ success
config_wheeldeps ✅ success
devdeps ✅ success
docker_image ✅ success
documentation ⏩ skipped
gen_code_coverage ⏩ skipped
metadata ✅ success
python_devel_wheel ✅ success
python_metapackages ✅ success
python_wheels ✅ success
python_wheels_cu12_validation ✅ success
python_wheels_cu13 ✅ success
source_build ✅ success
wheeldeps ✅ success
⏩ Skipped jobs (2) — intentionally skipped on PR builds; run on merge_group / workflow_dispatch
Job
documentation
gen_code_coverage
All sub-jobs (332) — every matrix leg, with links
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Build and test (amd64, gcc12, openmpi) / Dev environment (Debug) ✅ success view
Build and test (amd64, gcc12, openmpi) / Dev environment (Python) ✅ success view
Build and test (amd64, llvm, openmpi) / Dev environment (Debug) ✅ success view
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CI Summary ❔ in_progress view
Check for stable CUDA-Q changes ✅ success view
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Create CUDA 12 Python wheels (arm64, 3.13, 12.6) / Compute wheel info ✅ success view
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Create CUDA 13 Python wheels (amd64, 3.11, 13.0) / Build Python 3.11 wheel ✅ success view
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Create CUDA 13 Python wheels (amd64, 3.11, 13.0) / Build and test cudaq.logical / Test cudaq.logical ✅ success view
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Create CUDA Quantum installer (amd64, 12.6) / Build CUDA Quantum assets ❌ failure view
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@mitchdz
Move Ubuntu images from 24.04 to 26.04
8c58f43 
Ubuntu 26.04 has CUDA images and apt packages only for CUDA 13.3+, so
CUDA 13 images move to 26.04 (13.0 label kept for tags/keys, mapped to
13.3 for the Ubuntu image builds) while CUDA 12.6 stays on 24.04 with its
own gcc12 devdeps image.

- Dockerfiles: default base 26.04, parametrize ubuntu_version,
  python_version and libstdcxx_version, derive the CUDA keyring distro
  from os-release, replace the removed apt-key with signed-by keyrings,
  use cupy>=14 on Python 3.14.
- Workflows: map CUDA/Ubuntu/Python per image, cp312 -> cp314 logical
  wheel for 26.04 images, add ubuntu:26.04 to GHCR mirror and validation
  matrices, derive the Kitware codename from the image.
- realtime: default to DOCA 3.4.0 on Ubuntu 26.04 (3.3.0 has no repo).
- docs: list Ubuntu 26.04.

Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz
Fix Open MPI and devcontainer image builds on Ubuntu 26.04
4833d05 
Skip the OFED 5.3 repo on 26.04 (it conflicts with rdma-core 61 and the
t64 package names) and build UCX with -Wno-error, since its hard-coded
-Werror trips on glibc 2.43's const-correct strchr. Verified by building
devdeps.ompi.Dockerfile on nvidia/cuda:13.3.0-devel-ubuntu26.04.

Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz
Shorten Ubuntu 26.04 migration comments
4ce4904 
Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz
Fix arm64 doxygen build with CMake 4
c777670 
Ubuntu 26.04's CMake 4.2 rejects doxygen 1.9.7's old cmake_minimum_required. Pass CMAKE_POLICY_VERSION_MINIMUM=3.5.

Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz
Update notebook pins for Python 3.14
d650b4e 
The release image on Ubuntu 26.04 has only Python 3.14. numba 0.60.0 does not build there and matplotlib 3.8.4 has no 3.14 wheel, so the pip cells in mps_encoding and readout_error_mitigation failed and later imports raised ModuleNotFoundError (quimb, seaborn). Use numba>=0.63 and matplotlib 3.10.7, pandas 2.3.3 and scipy 1.16.3, which have 3.14 wheels.

Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz
Install matching libstdc++ dev after MPI in the dev image
818a96f 
On Ubuntu 26.04, libopenmpi-dev depends on gfortran-16, which adds /usr/lib/gcc/x86_64-linux-gnu/16 without libstdc++. Clang 22 selects the newest GCC directory, so linking failed with 'unable to find library -lstdc++' in the llvm build and test jobs. Install the libstdc++ dev package that matches the newest GCC directory.

Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz
Merge remote-tracking branch 'upstream/main' into ubuntu-26.04
79d4e35 
Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz

mitchdz commented Oct 16, 2026

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I force pushed again to re-sign gpg keys again.. I forgot to put --signoff -S with my git rebase command.

Renaud-K
Renaud-K reviewed Oct 16, 2026
View reviewed changes
Comment thread realtime/scripts/deps_common.sh Resolved
@github-actions

github-actions Bot commented Oct 16, 2026 •
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CI Summary (push) — ✅ passed

Run #40928967886 · ✅ 8 · ⏩ 10 · ❌ 0 · ⛔ 0

Top-level jobs (18)
Job Result
binaries ⏩ skipped
build_and_test ✅ success
changes ✅ success
config_devdeps ✅ success
config_source_build ⏩ skipped
config_wheeldeps ✅ success
devdeps ✅ success
docker_image ⏩ skipped
documentation ✅ success
gen_code_coverage ⏩ skipped
metadata ✅ success
python_devel_wheel ⏩ skipped
python_metapackages ⏩ skipped
python_wheels ⏩ skipped
python_wheels_cu12_validation ⏩ skipped
python_wheels_cu13 ⏩ skipped
source_build ⏩ skipped
wheeldeps ✅ success
⏩ Skipped jobs (10) — intentionally skipped on PR builds; run on merge_group / workflow_dispatch
Job
binaries
config_source_build
docker_image
gen_code_coverage
python_devel_wheel
python_metapackages
python_wheels_cu12_validation
python_wheels_cu13
python_wheels
source_build
All sub-jobs (47) — every matrix leg, with links
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Build and test (amd64, gcc12, openmpi) / Dev environment (Debug) ✅ success view
Build and test (amd64, gcc12, openmpi) / Dev environment (Python) ✅ success view
Build and test (amd64, llvm, openmpi) / Dev environment (Debug) ✅ success view
Build and test (amd64, llvm, openmpi) / Dev environment (Python) ✅ success view
Build and test (arm64, llvm, openmpi) / Dev environment (Debug) ✅ success view
Build and test (arm64, llvm, openmpi) / Dev environment (Python) ✅ success view
CI Summary ❔ in_progress view
Check for stable CUDA-Q changes ✅ success view
Configure build (devdeps) ✅ success view
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Configure build (wheeldeps) ✅ success view
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Create CUDA 13 Python wheels ⏩ skipped view
Create CUDA Quantum installer ⏩ skipped view
Create Docker images ⏩ skipped view
Create Python metapackages ⏩ skipped view
Create shared Python development wheel ⏩ skipped view
Documentation / Build and check docs ✅ success view
Gen code coverage ⏩ skipped view
Load dependencies (amd64, gcc12) / Caching ✅ success view
Load dependencies (amd64, gcc12) / Finalize ✅ success view
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Validate CUDA 12 Python wheels ⏩ skipped view
✅ Required checks (7/7) — declared in .github/required-checks.yml for push
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Build and test (amd64, llvm, openmpi) / Dev environment (Debug) ✅ success view
Build and test (amd64, llvm, openmpi) / Dev environment (Python) ✅ success view
Build and test (arm64, llvm, openmpi) / Dev environment (Debug) ✅ success view
Build and test (arm64, llvm, openmpi) / Dev environment (Python) ✅ success view
Build and test (amd64, gcc12, openmpi) / Dev environment (Debug) ✅ success view
Build and test (amd64, gcc12, openmpi) / Dev environment (Python) ✅ success view
Documentation / Build and check docs ✅ success view

@mitchdz
Default tensornet-mps fp32 to GESVDP for CUDA 13.3
b840bc8 
The Ubuntu 26.04 images ship CUDA 13.3 with cuSOLVER 12.2.6.9. With it,
tensornet-mps in single precision aborts under the default GESVDJ SVD
(CUTENSORNET_STATUS_INTERNAL_ERROR in cutensornetStateCompute), which
failed phase_estimation.cpp and trotter_kernel_mode.cpp in the release
image and installer validation (run 38970535974).

Tested phase_estimation on cuSOLVER 12.2.6.9, 12.3.2.15, 12.3.4.7 and
12.3.5.3: GESVDJ fails only on 12.2.6.9 fp32, GESVD fails on 12.3.4.7+
(host workspace, see #5600), and GESVDP passes everywhere in fp32 and
fp64. Results match fp64 to about 1e-5.

Make MPSSettings take the precision and default fp32 to GESVDP. fp64 and
an explicit CUDAQ_MPS_SVD_ALGO are unchanged.

Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz
Merge remote-tracking branch 'upstream/main' into ubuntu-26.04
dcf7e0f 
Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@github-actions github-actions Bot added runtime CUDA quantum runtime simulation trouble getting code to run on one of the simulators labels Oct 20, 2026
@mitchdz

mitchdz commented Oct 20, 2026

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@1tnguyen Be aware of this change for CUDA 13.3 b840bc8

@mitchdz
Fix undefined CPATH warning in the Open MPI devdeps image
10c846f 
The CUDA base image does not define CPATH, so
`ENV CPATH="$GDRCOPY_INSTALL_PREFIX/include:$CPATH"` triggers the
UndefinedVar build check, and it leaves a trailing colon that adds the
current directory to CPATH. Set CPATH directly here. The later PMIx and
Open MPI entries prepend to it, so they are unaffected.

Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz
Fix libstdc++ 16 build failures from missing <cstdint>
b5befb4 
The Ubuntu 26.04 dev image compiles with clang against libstdc++ 16,
which no longer provides the fixed-width integer types through other
standard headers. The Debug dev-environment jobs failed in
runtime/cudaq/operators/callback.cpp and handler.cpp with "no member
named 'int64_t' in namespace 'std'".

Include <cstdint> in callback.h. The pinned Stim headers have the same
gap (dem_instruction.h uses uint64_t without it), so force-include it
when compiling libstim instead of bumping the submodule.

Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz
mitchdz marked this pull request as draft October 20, 2026 18:08
@mitchdz

mitchdz commented Oct 20, 2026

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Moving to draft until green CI + Deployments + Validation

@mitchdz
Upgrade Sphinx for Python 3.14 documentation builds
5026621 
The Documentation job failed on Ubuntu 26.04 with
"PycodeError: parsing cudaq/__init__.py failed: module 'ast' has no
attribute 'Str'". Sphinx 5.3 still uses ast.Str, which Python 3.14
removed.

Move to Sphinx 8.2.3 and the extension versions that support it:
sphinx_rtd_theme 3.1.0, sphinx-reredirects 1.1.0, sphinx_inline_tabs
2025.12.21.14, breathe 5.1.0, nbsphinx 0.9.8, sphinx_gallery 0.22.1 and
myst-parser 5.1.0. Sphinx 9 is too new for enum-tools, which imports
sphinx.ext.autodoc.logger.

sphinx_rtd_theme 3 deprecates get_html_theme_path, which the -W build
would turn into an error. The theme is found through its entry point, so
drop html_theme_path and the import.

A local build of docs/sphinx on Python 3.14 with these versions
succeeds and renders the RTD theme. Its remaining warnings were from
the missing Doxygen output and an unreachable intersphinx inventory.

Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz
[CI] Fall back to uv when the distro lacks the wheel's Python
607296d 
The installer validation installs the wheel's Python (3.11) with apt, but
Ubuntu 26.04 only packages 3.14, so the side-by-side step failed with
'Unable to locate package python3.11'. When apt has no such package, create
the venv with a pinned uv instead.

Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz
mitchdz marked this pull request as ready for review October 21, 2026 05:09
@mitchdz mitchdz changed the title [WIP] [Docker] Bump cuda 13 container to Ubuntu 26.04 [Docker] Bump cuda 13 container to Ubuntu 26.04 Oct 21, 2026
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mitchdz commented Oct 21, 2026

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We should wait for #5670 before pushing this in.

@mitchdz
Merge remote-tracking branch 'upstream/main' into ubuntu-26.04
e9ed4f9 
Signed-off-by: mdzurick <mitch_dz@hotmail.com>

# Conflicts:
#	realtime/scripts/deps_common.sh
@mitchdz
[docs] Document the CUDA 13.3 build and unchanged CUDA 13 minimum
239ed71 
CUDA 13 builds now use CUDA 13.3 because Ubuntu 26.04 has no CUDA 12 or
13.0 to 13.2 images. This does not raise the minimum CUDA 13 requirement.
On an L4 with a 580 driver (CUDA 13.0), a 13.3-built binary, and the 13.3
CUDA-Q image with and without CUDA 13.0 cuBLAS/cuSOLVER libraries, ran the
GPU simulators correctly.

Update the "built against" version, the tested CUDA versions, the Ubuntu
26.04 notes, and the latest release notes.

Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz
Merge remote-tracking branch 'upstream/main' into ubuntu-26.04
c68b465 
Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz

mitchdz commented Oct 22, 2026

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#5670 is merged now. This should be good to review now.

@mitchdz
Fetch the DOCA apt repo over http on Ubuntu 26.04
53c4dee 
apt 3.2 cannot fetch the repo over https (unexpected eof, then the
repository is reported as not signed). The metadata is still verified
against the DOCA key.

Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz
Skip doca-all on Ubuntu 26.04
36f47e8 
doca-all pins the OFED rdma-core, which cannot be installed next to the
rdma-core that 26.04 ships. Install only the GPUNetIO dev package, as
install_devdeps.sh does.

Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz
Merge remote-tracking branch 'upstream/main' into ubuntu-26.04
e51af41 
Signed-off-by: mdzurick <mitch_dz@hotmail.com>

# Conflicts:
#	.github/workflows/validation.yml
#	docs/sphinx/using/install/local_installation.rst
@mitchdz
Merge remote-tracking branch 'upstream/main' into ubuntu-26.04
9352909 
Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz
Merge remote-tracking branch 'upstream/main' into ubuntu-26.04
1b83d24 
Signed-off-by: mdzurick <mitch_dz@hotmail.com>
@mitchdz
Merge remote-tracking branch 'upstream/main' into ubuntu-26.04
d1d7812 
Signed-off-by: mdzurick <mitch_dz@hotmail.com>

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