TE-TestSet

Introduction

The test set provides the instances used and the computational results described in the manuscript "Template-based Minor Embedding for Adiabatic Quantum Optimization" by Serra, Huang, Raghunathan, and Bergman.

At a Glance

• The size of the unzipped dataset is ~173MB.
• Files in the unzipped folder:
  • README.md
  • hardware_graphs/
  • problem_graphs/
  • results.xslx

Citation

If you use TE-TestSet in your research, please cite our paper:

@article{TEAQC_ijoc,
title={Template-Based Minor Embedding for Adiabatic Quantum Optimization},
author={Thiago Serra , Teng Huang , Arvind U. Raghunathan , David Bergman}, 
journal={INFORMS Journal on Computing},
volume={34},
number={1},
pages={427–439},
year={2021}
}

Copyright and License

The TE-TestSet dataset is released under CC-BY-SA-4.0 license.

All data:

Created by Mitsubishi Electric Research Laboratories (MERL), 2021, 2023
 
SPDX-License-Identifier: CC-BY-SA-4.0