BenchQC -- Scalable and modular benchmarking of industrial quantum computing applications

• URL: http://arxiv.org/abs/2504.11204v1
• Date: Tue, 15 Apr 2025 14:05:11 GMT
• Title: BenchQC -- Scalable and modular benchmarking of industrial quantum computing applications
• Authors: Florian Geissler, Eric Stopfer, Christian Ufrecht, Nico Meyer, Daniel D. Scherer, Friedrich Wagner, Johannes M. Oberreuter, Zao Chen, Alessandro Farace, Daria Gutina, Ulrich Schwenk, Kimberly Lange, Vanessa Junk, Thomas Husslein, Marvin Erdmann, Florian Kiwit, Benjamin Decker, Greshma Shaji, Etienne Granet, Henrik Dreyer, Theodora-Augustina Dragan, Jeanette Miriam Lorenz,
• Abstract summary: BenchQC promotes an application-centric perspective for benchmarking real-world quantum applications.<n>We aim to uncover meaningful trends, provide systematic guidance on quantum utility, and distinguish promising research directions from less viable approaches.
• Score: 26.629709879735532
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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