https://github.com/cqcl/pytket-cutensornet
cuTensorNet Python API extensions for pytket quantum SDK
Science Score: 26.0%
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○Scientific vocabulary similarity
Low similarity (16.8%) to scientific vocabulary
Repository
cuTensorNet Python API extensions for pytket quantum SDK
Basic Info
- Host: GitHub
- Owner: CQCL
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 3.09 MB
Statistics
- Stars: 15
- Watchers: 8
- Forks: 2
- Open Issues: 11
- Releases: 21
Metadata Files
README.md
pytket-cutensornet
Pytket is a python module for interfacing with tket, a quantum computing toolkit and optimising compiler developed by Quantinuum.
cuTensorNet is a high-performance library for tensor network computations, developed by NVIDIA. It is part of the cuQuantum SDK - a high-performance library aimed at quantum circuit simulations on the NVIDIA GPUs.
pytket-cutensornet is an extension to pytket that allows pytket circuits and
expectation values to be simulated using cuTensorNet via an interface to
cuQuantum Python.
Some useful links: - API Documentation
Getting started
pytket-cutensornet is available for Python 3.10, 3.11 and 3.12 on Linux.
In order to use it, you need access to a Linux machine (or WSL) with an NVIDIA GPU of
Compute Capability +7.0 (check it here).
You will need to install cuda-toolkit and cuquantum-python before pytket-cutensornet;
for instance, in Ubuntu 24.04:
shell
sudo apt install cuda-toolkit
pip install cuquantum-python
pip install pytket-cutensornet
Alternatively, you may install cuQuantum Python following their
instructions using conda-forge.
This will include the necessary dependencies from CUDA toolkit. Then, you may install
pytket-cutensornet using pip.
Bugs, support and feature requests
Please file bugs and feature requests on the Github issue tracker.
Development
To install an extension in editable mode, from its root folder run:
shell
pip install -e .
Contributing
Pull requests are welcome. To make a PR, first fork the repo, make your proposed
changes on the main branch, and open a PR from your fork. If it passes
tests and is accepted after review, it will be merged in.
Code style
Docstrings
We use the Google style docstrings, please see this page for reference.
Type annotation
On the CI, mypy is used as a static
type checker and all submissions must pass its checks. You should therefore run
mypy locally on any changed files before submitting a PR. Because of the way
extension modules embed themselves into the pytket namespace this is a little
complicated, but it should be sufficient to run the script mypy-check
and passing as a single argument the root directory of the module to test. The directory
path should end with a /. For example, to run mypy on all Python files in this
repository, when in the root folder, run:
shell
./mypy-check ./
The script requires mypy 0.800 or above.
Linting
We use pylint on the CI to check compliance
with a set of style requirements (listed in .pylintrc). You should run
pylint over any changed files before submitting a PR, to catch any issues.
Tests
To run the tests for a module:
shell
pip install -r tests/test-requirements.txt
pytest tests/
When adding a new feature, please add a test for it. When fixing a bug, please add a test that demonstrates the fix.
Owner
- Name: Cambridge Quantum
- Login: CQCL
- Kind: organization
- Location: Cambridge, UK
- Website: http://www.cambridgequantum.com
- Repositories: 48
- Profile: https://github.com/CQCL
Quantum Software and Technologies
GitHub Events
Total
- Create event: 51
- Release event: 5
- Issues event: 22
- Watch event: 4
- Delete event: 32
- Member event: 1
- Issue comment event: 37
- Push event: 128
- Pull request review comment event: 18
- Pull request review event: 55
- Pull request event: 90
- Fork event: 1
Last Year
- Create event: 51
- Release event: 5
- Issues event: 22
- Watch event: 4
- Delete event: 32
- Member event: 1
- Issue comment event: 37
- Push event: 128
- Pull request review comment event: 18
- Pull request review event: 55
- Pull request event: 90
- Fork event: 1
Issues and Pull Requests
Last synced: 9 months ago
All Time
- Total issues: 36
- Total pull requests: 244
- Average time to close issues: 3 months
- Average time to close pull requests: 16 days
- Total issue authors: 9
- Total pull request authors: 11
- Average comments per issue: 0.75
- Average comments per pull request: 0.47
- Merged pull requests: 181
- Bot issues: 0
- Bot pull requests: 66
Past Year
- Issues: 11
- Pull requests: 87
- Average time to close issues: 7 days
- Average time to close pull requests: 15 days
- Issue authors: 5
- Pull request authors: 7
- Average comments per issue: 0.09
- Average comments per pull request: 0.41
- Merged pull requests: 49
- Bot issues: 0
- Bot pull requests: 35
Top Authors
Issue Authors
- PabloAndresCQ (22)
- jake-arkinstall (5)
- erinaldiq (2)
- CalMacCQ (2)
- marcosdiezgarcia (1)
- yapolyak (1)
- cqc-alec (1)
- NathanCQC (1)
- obackhouse (1)
Pull Request Authors
- PabloAndresCQ (101)
- dependabot[bot] (66)
- cqc-melf (36)
- yapolyak (14)
- cqc-alec (9)
- CalMacCQ (6)
- jake-arkinstall (4)
- NathanCQC (3)
- sjdilkes (2)
- obackhouse (1)
- willsimmons1465 (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 3,515 last-month
- Total docker downloads: 36
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 20
- Total maintainers: 2
pypi.org: pytket-cutensornet
Extension for pytket, providing access to the cuTensorNet Python API.
- Documentation: https://docs.quantinuum.com/tket/extensions/pytket-cutensornet
- License: Apache 2
-
Latest release: 0.12.0
published about 1 year ago
Rankings
Maintainers (2)
Dependencies
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