References

MQT Predictor has a strong foundation in peer‑reviewed research. Many of its built‑in algorithms are based on methods published in scientific journals and conferences. For an overview of MQT Predictor and its features, see []. If you want to cite this article, please use the following BibTeX entry:

@article{quetschlich2025mqtpredictor,
  title        = {{MQT Predictor: Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing}},
  author       = {Quetschlich, Nils and Burgholzer, Lukas and Wille, Robert},
  year         = {2025},
  journal      = {ACM Transactions on Quantum Computing (TQC)},
  doi          = {10.1145/3673241},
  eprint       = {2310.06889},
  eprinttype   = {arxiv}
}

MQT Predictor is part of the Munich Quantum Toolkit, which is described in [5]. If you want to cite the Munich Quantum Toolkit, please use the following BibTeX entry:

@inproceedings{mqt,
  title        = {The {{MQT}} Handbook: {{A}} Summary of Design Automation Tools and Software for Quantum Computing},
  shorttitle   = {{The MQT Handbook}},
  author       = {Wille, Robert and Berent, Lucas and Forster, Tobias and Kunasaikaran, Jagatheesan and Mato, Kevin and Peham, Tom and Quetschlich, Nils and Rovara, Damian and Sander, Aaron and Schmid, Ludwig and Schoenberger, Daniel and Stade, Yannick and Burgholzer, Lukas},
  year         = 2024,
  booktitle    = {IEEE International Conference on Quantum Software (QSW)},
  doi          = {10.1109/QSW62656.2024.00013},
  eprint       = {2405.17543},
  eprinttype   = {arxiv},
  addendum     = {A live version of this document is available at \url{https://mqt.readthedocs.io}}
}

If you are explicitly referring to the application-aware compilation scheme, please cite [6].

A full list of references is given below.

[1]

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.

[2]

Prakash Murali, David C. Mckay, Margaret Martonosi, and Ali Javadi-Abhari. Software mitigation of crosstalk on noisy intermediate-scale quantum computers. In Proceedings of the Twenty-Fifth Int'l Conf. on Architectural Support for Programming Languages and Operating Systems. 2020. [PDF], doi:10.1145/3373376.3378477.

[3]

Siddharth Dangwal, Gokul Subramanian Ravi, Lennart Maximilian Seifert, and Frederic T. Chong. Clifford assisted optimal pass selection for quantum transpilation. 2023. arXiv 2306.15020. [PDF], arXiv:2306.15020.

[4]

Paul D. Nation and Matthew Treinish. Suppressing quantum circuit errors due to system variability. PRX Quantum, 2023. [PDF], doi:10.1103/PRXQuantum.4.010327.

[5]

Robert Wille, Lucas Berent, Tobias Forster, Jagatheesan Kunasaikaran, Kevin Mato, Tom Peham, Nils Quetschlich, Damian Rovara, Aaron Sander, Ludwig Schmid, Daniel Schoenberger, Yannick Stade, and Lukas Burgholzer. The MQT handbook: A summary of design automation tools and software for quantum computing. In IEEE International Conference on Quantum Software (QSW). 2024. arXiv:2405.17543, doi:10.1109/QSW62656.2024.00013.

[6]

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.