If you use MQT Predictor in your work, we would appreciate if you cited [2] (which subsumes [3] and [4]). If you are explicitly referring to the application-aware compilation scheme, please cite [5].


Teague Tomesh, Pranav Gokhale, Victory Omole, Gokul Subramanian Ravi, Kaitlin N. Smith, Joshua Viszlai, Xin-Chuan Wu, Nikos Hardavellas, Margaret R. Martonosi, and Frederic T. Chong. Supermarq: a scalable quantum benchmark suite. 2022. arXiv:2202.11045.


N. Quetschlich, L. Burgholzer, and R. Wille. MQT Predictor: Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing. 2023. arXiv:2310.06889.


N. Quetschlich, L. Burgholzer, and R. Wille. Predicting Good Quantum Circuit Compilation Options. In IEEE International Conference on Quantum Software (QSW). 2023. arXiv:2210.08027.


N. Quetschlich, L. Burgholzer, and R. Wille. Compiler Optimization for Quantum Computing Using Reinforcement Learning. In Design Automation Conference (DAC). 2023. arXiv:2212.04508.


N. Quetschlich, F. J. Kiwit, M. A. Wolf, C. A. Riofrio, A. Luckow, L. Burgholzer, and R. Wille. Towards Application-Aware Quantum Circuit Compilation. In IEEE International Conference on Quantum Software (QSW). 2024. arXiv:2404.12433.