We present BenchQC, a research project funded by the state of Bavaria, which promotes an application-centric perspective for benchmarking real-world quantum applications. Diverse use cases from industry consortium members are the starting point of a benchmarking workflow, that builds on the open-source platform QUARK, encompassing the full quantum software stack from the hardware provider interface to the application layer. By identifying and evaluating key metrics across the entire pipeline, we aim to uncover meaningful trends, provide systematic guidance on quantum utility, and distinguish promising research directions from less viable approaches. Ultimately, this initiative contributes to the broader effort of establishing reliable benchmarking standards that drive the transition from experimental demonstrations to practical quantum advantage.
@article{arxiv.2504.11204,
title = {BenchQC -- Scalable and modular benchmarking of industrial quantum computing applications},
author = {Florian Geissler and Eric Stopfer and Christian Ufrecht and Nico Meyer and Daniel D. Scherer and Friedrich Wagner and Johannes M. Oberreuter and Zao Chen and Alessandro Farace and Daria Gutina and Ulrich Schwenk and Kimberly Lange and Vanessa Junk and Thomas Husslein and Marvin Erdmann and Florian Kiwit and Benjamin Decker and Greshma Shaji and Etienne Granet and Henrik Dreyer and Theodora-Augustina Dragan and Jeanette Miriam Lorenz},
journal= {arXiv preprint arXiv:2504.11204},
year = {2025}
}