dwave-networkx

What it is and what it does

dwave-networkx is a NetworkX extension designed for users working with D-Wave quantum computers. It provides specialized tools for working with quantum processor unit (QPU) topology graphs—such as the Pegasus topology used on Advantage quantum computers—and implements graph-theory algorithms that run on D-Wave quantum systems and other binary quadratic model samplers. The package builds on NetworkX's graph exploration and analysis capabilities, adding quantum-specific functionality.

The package is actively maintained but officially deprecated in favor of dwave-graphs, which provides the same core functionality under a new namespace (dwave.graphs). It has low installation friction as a pure-Python package and supports modern Python versions (3.10–3.14). Its three runtime dependencies—NetworkX, dimod, and NumPy—are widely used and stable.

Use it for:

• Generate and analyze Pegasus topology graphs for D-Wave Advantage quantum computers.
• Implement graph algorithms optimized for quantum processing on D-Wave systems.
• Convert classical graph problems into binary quadratic models for quantum sampling.
• Explore quantum processor connectivity and topology constraints in research.
• Prototype quantum-classical hybrid algorithms using graph-based problem formulations.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Extends NetworkX with tools for D-Wave quantum computer topology graphs and implements graph algorithms for quantum processing units and binary quadratic model samplers.

Yes, but with a caveat: the package is actively maintained and suitable for working with D-Wave quantum systems, but it is officially deprecated in favor of dwave-graphs. Install this only if you have an existing codebase using dwave-networkx or are specifically targeting its current API; for new projects, use dwave-graphs instead. No security vulnerabilities are known.

Install

dwave-networkx on PyPI

pip install dwave-networkx

uv add dwave-networkx

poetry add dwave-networkx

Installing dwave-networkx

Before you install

Low install friction with a pure-Python wheel distribution. Actively maintained with a recent release (59 days old) and current Python version support (3.10–3.14). Repository shows steady activity and modest community engagement (95 stars).

License in practice

Released under Apache License 2.0, a permissive license that allows commercial and private use with minimal restrictions—suitable for most projects.

Quickstart

pip install dwave-networkx

import dwave_networkx as dnx
graph = dnx.pegasus_graph(16)

Requires Python 3.10 or later; depends on NetworkX, dimod, and NumPy.

Verify before relying

• Whether dwave-graphs (the recommended replacement) provides feature parity or if migration is necessary for new projects.
• Specific quantum algorithms implemented beyond graph topology support.
• Performance characteristics when working with large Pegasus topologies.

Package facts

Evidence: dwave_networkx-0.8.19-py3-none-any.whl

Tags

More Scientific/Engineering packages