BenchQC -- Scalable and modular benchmarking of industrial quantum computing applications
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arXiv
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866914180878041088 |
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| author | Geissler, Florian Stopfer, Eric Ufrecht, Christian Meyer, Nico Scherer, Daniel D. Wagner, Friedrich Oberreuter, Johannes M. Chen, Zao Farace, Alessandro Gutina, Daria Schwenk, Ulrich Lange, Kimberly Junk, Vanessa Husslein, Thomas Erdmann, Marvin Kiwit, Florian Decker, Benjamin Shaji, Greshma Granet, Etienne Dreyer, Henrik Dragan, Theodora-Augustina Lorenz, Jeanette Miriam |
| author_facet | Geissler, Florian Stopfer, Eric Ufrecht, Christian Meyer, Nico Scherer, Daniel D. Wagner, Friedrich Oberreuter, Johannes M. Chen, Zao Farace, Alessandro Gutina, Daria Schwenk, Ulrich Lange, Kimberly Junk, Vanessa Husslein, Thomas Erdmann, Marvin Kiwit, Florian Decker, Benjamin Shaji, Greshma Granet, Etienne Dreyer, Henrik Dragan, Theodora-Augustina Lorenz, Jeanette Miriam |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_11204 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | BenchQC -- Scalable and modular benchmarking of industrial quantum computing applications Geissler, Florian Stopfer, Eric Ufrecht, Christian Meyer, Nico Scherer, Daniel D. Wagner, Friedrich Oberreuter, Johannes M. Chen, Zao Farace, Alessandro Gutina, Daria Schwenk, Ulrich Lange, Kimberly Junk, Vanessa Husslein, Thomas Erdmann, Marvin Kiwit, Florian Decker, Benjamin Shaji, Greshma Granet, Etienne Dreyer, Henrik Dragan, Theodora-Augustina Lorenz, Jeanette Miriam Quantum Physics 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. |
| title | BenchQC -- Scalable and modular benchmarking of industrial quantum computing applications |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2504.11204 |