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-graphsInstallation 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 unittestLicense
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.
1 maintainer
Metadata
1 maintainer
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 | |
|---|---|---|---|
| dwave_graphs-1.2.0.tar.gz | 135.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dwave_graphs-1.2.0-py3-none-any.whl | Python 3 | none | any | Details |
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 |
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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 |
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