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 from PyPi:
pip install dwave-graphsInstallation from source:
pip install -r requirements.txt
python setup.py installReleased under the Apache License 2.0. See LICENSE file.
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