An Updated Experimental Evaluation of Graph Bipartization Methods

Abstract

We experimentally evaluate the practical state-of-the-art in graph bipartization (Odd Cycle Transversal (OCT)), motivated by the need for good algorithms for embedding problems into near-term quantum computing hardware. We assemble a preprocessing suite of fast input reduction routines from the OCT and Vertex Cover (VC) literature and compare algorithm implementations using Quadratic Unconstrained Binary Optimization problems from the quantum literature. We also generate a corpus of frustrated cluster loop graphs, which have previously been used to benchmark quantum annealing hardware. The diversity of these graphs leads to harder OCT instances than in existing benchmarks.

Document Details

Document Type
Pub Defense Publication
Publication Date
Oct 08, 2021
Source ID
10.1145/3467968

Entities

People

  • Blair D Sullivan
  • Eric Horton
  • Timothy D Goodrich

Organizations

  • Air Force Office of Scientific Research
  • Gordon and Betty Moore Foundation
  • North Carolina State University

Tags

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Graph Algorithms and Convex Optimization.
  • Neural Network Machine Learning.

Technology Areas

  • Quantum Computing