dwave-graphs
dwave-graphs provides tools for working with quantum processing unit (QPU) topology graphs, such as the Pegasus used on the AdvantageTM quantum computer, and implementations of graph-theory algorithms on D-Wave quantum computers and other binary quadratic model (BQM) samplers.
This example generates a Pegasus graph of the size used by Advantage QPUs.
>>> import dwave.graphs >>> graph = dwave.graphs.pegasus_graph(16)
Installation
Installation from PyPI:
pip install dwave-graphs
Installation from source:
pip install .
Development setup
Install development requirements and the package in editable mode:
pip install --group dev
pip install --editable .
Tests require the test dependency group:
pip install --group test
python -m unittest
License
Released under the Apache License 2.0. See LICENSE file.
Contributing
Ocean’s contributing guide has guidelines for contributing to Ocean packages.
Release Notes
We use reno to manage release notes.
See reno’s user guide for details.
Metadata
Release files for dwave-graphs 1.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| dwave_graphs-1.2.0.tar.gz | 135.9 kB | Without provenance | Details for dwave_graphs-1.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| dwave_graphs-1.2.0-py3-none-any.whl | Python 3 | none | any | Details for dwave_graphs-1.2.0-py3-none-any.whl |
Total release size: 267.6 kB
Release files / dwave_graphs-1.2.0.tar.gz
| Download URL | dwave_graphs-1.2.0.tar.gz |
|---|---|
| Size | 135.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.12.14
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Release files / dwave_graphs-1.2.0-py3-none-any.whl
| Download URL | dwave_graphs-1.2.0-py3-none-any.whl |
|---|---|
| Size | 131.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.14
|
Security for dwave-graphs 1.2.0
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None of the files in this release were uploaded with provenance metadata.
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