TE-TestSet

<strong>Introduction</strong> 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. <strong>At a Glance</strong> The size of the unzipped dataset is ~173MB. Files in the unzipped folder: README.md hardware_graphs/ problem_graphs/ results.xslx <strong>Citation</strong> If you use TE-TestSet in your research, please cite our paper: <pre><code>@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} }</code></pre> <strong>Copyright and License</strong> The TE-TestSet dataset is released under CC-BY-SA-4.0 license. All data: <pre><code>Created by Mitsubishi Electric Research Laboratories (MERL), 2021, 2023 SPDX-License-Identifier: CC-BY-SA-4.0</code></pre>