Forschungszentrum Jülich request: Flexibility PyQuil releases (Python 3.13.x, numpy 2.x)

[AlvaroHuanay]

Dear Rigetti team,

We are trying to install latest PyQuil version (4.16.2) for our Stages/2026 on our HPC systems with:

Dependency	version
GLIBC	2.28
GCC	14.3.0
Python	3.13.5
Numpy	2.3.2
Scipy	1.16.1
matplotlib	3.10.5
matplotlib-inline	0.1.7
Rust	1.88.0
Pybind11	3.0.0
maturin	1.9.1
Cython	3.1.2

Nonetheless, looks like it is not Python 3.13.x and numpy 2.x supported due to some Rust-backed dependencies (quil, qcs-api-client-common, qcs-sdk-python) that are still build against PyO2 0.20.3 which refuses to compile on Python 3.13:

error: the configured Python interpreter version (3.13) is newer than PyO3's maximum supported version (3.12)

Could I ask you for a more flexible release that matches our setup? I checked issues:

Please support Python 3.13
Allow numpy >2.0
Allow NumPy 2
Support Python 3.13 by upgrading to pyo3 >= 0.22

So please consider this a +1 in support flexibility.

Thank you very much for your work with PyQuil!

Have a nice day.

Kind regards.

[asaites]

So please consider this a +1 in support flexibility.

Yes, we are actively working on upgrading pyo3 in the lower-level packages that support PyQuil, then to update PyQuil with those improvements. Once complete, we'll have support for Python 3.13 and numpy 2.x in particular. We appreciate the community's patience on this. The work we're doing in those lower level packages gives us a better foundation for future upgrades.

As you noted, this really is a duplicate of existing issues, so I'm going to close this one in favor of the existing ones, but please don't consider the discussion itself closed! If you have questions or suggestions, please feel free to comment on those issues.

Thank you!