Release Notes

cuQuantum Python v22.03.0

• Stable release:

  • Starting this release, cuQuantum Python switches to the CalVer versioning scheme, following cuQuantum SDK

  • pip wheels are released on PyPI: pip install cuquantum-python

• Functionality/performance improvements:

  • High-level tensor network APIs are now fully NumPy compliant:

    • Support generalized einsum expressions

    • Support ellipsis

    • Support broadcasting

• Add new APIs and functionalities for:

  • For low-level APIs, please refer to the release notes of cuStateVec v1.0.0 and cuTensorNet v1.0.0.

  • The high-level APIs support an EMM-like memory plugin interface (see Memory management).

• API changes:

  • For low-level APIs, please refer to the release notes of cuStateVec v1.0.0 and cuTensorNet v1.0.0.

  • No API breaking changes for the high-level APIs.

Compatibility notes:

• cuQuantum Python requires cuQuantum v22.03

• cuQuantum Python requires Python 3.7+

  • In the next release, Python 3.7 will be dropped to follow NEP-29.

• cuQuantum Python requires NumPy v1.17+

  • In the next release, NumPy 1.17 & 1.18 will be dropped to follow NEP-29.

• cuQuantum Python requires CuPy v9.5+

• cuQuantum Python supports PyTorch v1.10+

cuQuantum Python v0.1.0.1

• Patch release:

  • Add a __version__ string

cuQuantum Python v0.1.0.0

• Initial release (beta 2)

Compatibility notes:

• cuQuantum Python requires cuQuantum v0.1.0

• cuQuantum Python requires NumPy v1.17+

• cuQuantum Python requires CuPy v9.5+

• cuQuantum Python supports PyTorch v1.10+

Limitation notes:

• In certain environments, if PyTorch is installed import cuquantum could fail (with a segmentation fault). It is currently under investigation and a temporary workaround is to import torch before importing cuquantum.