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

2025/04/15 by Florian Geißler, Eric Stopfer, Geissler, Florian +40
Computer Science · #Cloud Computing and Resource Management #FOS: Physical sciences #Parallel Computing and Optimization Techniques #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph)

paper · pdf · doi:10.48550/arxiv.2504.11204

openalex publication_date 2025/04/15 · openalex created_date 2025/10/14 · openalex updated_date 2026/07/28

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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