{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/9"}],"enrichment":{"capability":"Provides graph representations and algorithms for D-Wave quantum processors, including topology graphs like Pegasus and tools for working with binary quadratic model samplers.","skillfed_tags":["quantum-computing","graph-algorithms","D-Wave"],"use_cases":["Generate and inspect Pegasus topology graphs to understand D-Wave Advantage QPU connectivity constraints.","Implement graph-theory algorithms optimized for quantum annealing on D-Wave hardware.","Map classical optimization problems to QPU topology when designing BQM formulations.","Prototype quantum annealing solutions that must respect hardware topology limitations.","Research quantum processor architecture and topology-aware algorithm design."],"what_it_does":"dwave-graphs is a Python library for representing and manipulating quantum processor topologies, particularly the Pegasus topology used by D-Wave's Advantage quantum computers. It wraps graph structures and provides algorithms designed to work with binary quadratic model (BQM) samplers on D-Wave hardware and other compatible systems.\n\nThe package sits in the D-Wave Ocean SDK ecosystem and depends on networkx for graph operations, numpy for numerical work, and dimod for BQM handling. It is primarily useful for researchers and developers building quantum annealing applications who need to understand or work directly with QPU connectivity constraints, or who are implementing graph-based algorithms for quantum optimization.","worth_installing":"Yes, if you are working with D-Wave quantum computers or researching quantum annealing. The package is actively maintained, has no known vulnerabilities, low install friction, and a permissive license. It is a specialized tool with a narrow audience\u2014install only if you need QPU topology graphs or D-Wave-specific graph algorithms."},"id":"dwave-graphs","links":{"html":"https://skillfed.io/packages/dwave-graphs","md":"https://skillfed.io/packages/dwave-graphs.md","pypi":"https://pypi.org/project/dwave-graphs/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-11","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"dwave-graphs","python_support":"supports_current","summary":"A package providing graphs and algorithms for working with D-Wave quantum computers."},"popularity":{"monthly_downloads":77527,"position":14518,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.0"}