Johannes Klepsch

BMW Group (Germany)

Papers

3

Total Citations

74

H-Index

2

About

Johannes Klepsch is a pioneering researcher at the intersection of quantum computing and practical industrial applications, with a particular focus on benchmarking, optimization, and hybrid quantum-classical algorithms. His most influential contribution, the QUARK framework — a comprehensive system for quantum computing application benchmarking — has garnered significant attention within the community, accumulating nearly 50 citations since its 2022 publication. QUARK addresses a critical and growing need in the field: as quantum computing matures toward real-world utility, standardized methods for analyzing and comparing quantum solutions against classical approaches become essential. Klepsch's work extends beyond theoretical frameworks into tangible industrial problems, as demonstrated by his research on robot trajectory planning, which achieved industry-relevant scale by ingeniously combining nature-inspired algorithms with hybrid quantum techniques, earning 26 citations. This work exemplifies his ability to bridge the gap between cutting-edge quantum research and practical engineering challenges. Through his contributions, Klepsch is helping to lay the methodological groundwork necessary for the quantum computing community to rigorously evaluate progress, making his research invaluable to both academic researchers and industry practitioners navigating this rapidly evolving landscape.

Research Focus

Key Achievements

2
H-Index
3
Papers
74
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
QUARK: A Framework for Quantum Computing Application Benchmarking
46 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: BMW Group (Germany)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago