{"id":122,"date":"2022-12-15T12:01:55","date_gmt":"2022-12-15T11:01:55","guid":{"rendered":"https:\/\/websites.fraunhofer.de\/sequoia\/?page_id=122"},"modified":"2025-09-11T14:00:55","modified_gmt":"2025-09-11T12:00:55","slug":"use-cases","status":"publish","type":"page","link":"https:\/\/www.kqcbw.de\/en\/use-cases\/","title":{"rendered":"SEQUOIA End-to-End Use Cases"},"content":{"rendered":"
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SEQUOIA End-to-End<\/h1>

The main objective of the SEQUOIA End-to-End collaborative research project was to identify bottlenecks in the current quantum software development process and to explore and provide high-performance, automated, and controllable end-to-end solutions for industrial applications through holistic quantum software engineering. The activities build on the results of the completed SEQUOIA project.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tAbout the project<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Use Cases<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t Route and Charging Station Optimization <\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tQuantum-based Computational Fluid Dynamics<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tResilience Analysis of Critical Infrastructure Networks<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tScenario-based Route Planning<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tKonfigurationspriorisierung variabler Softwaresysteme<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tOptimierung von Fertigungsstra\u00dfen<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tTraffic Sign Recognition<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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User study \u00bbQuantum Computing in Industrial Applications\u00ab (in German)<\/span><\/h2>

As a key result of the joint research project \u201cSEQUOIA,\u201d Fraunhofer IAO and other research partners have published the study \u201cQuantum Computing in Industrial Applications.\u201d It provides a comprehensive overview and presents current hardware and software implementations, including the most common algorithms and industrial case studies. The aim is to enable companies and developers to use quantum software in a targeted manner. The study can be downloaded free of charge via the link below.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Final Report SEQUOIA End-to-End (German)\u00a0<\/strong><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\tPublications<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t
      1. L. Rullk\u00f6tter, S. Weber, V. M. Katukuri, C. Tutschku, B. C. Mummaneni, \u00bbResource-efficient Variational Block-Encoding\u00ab, 2025, https:\/\/doi.org\/10.48550\/arXiv.2507.17658<\/a><\/li>
      2. B. Beckert, R. G\u00f6tz, J. Klamroth and\u00a0N. Lemke, \u00bbImproved bounds for rounding errors in quantum circuit simulators\u00ab<\/span>, 2025, Quantum Software Engineering MeetUp 2025, Gi FG Quantencomputing, https:\/\/doi.org\/10.18420\/se2025-ws-18<\/a><\/span><\/li>
      3. J. Klamroth, M. Scheerer and O. Denninger, \u00bbDetecting and Tolerating Faults in Hybrid Quantum Software Systems Using Architectural Redundancy\u00ab, in 2025 IEEE International Conference on Quantum Software (QSW), Helsinki, Finland, 2025, pp. 162-172, https:\/\/doi.org\/10.1109\/QSW67625.2025.00028<\/a><\/li>
      4. J. Ammermann, F. J. Brenneisen, T. Bittner and\u00a0I. Sch\u00e4fer., \u201cQuantum Solution for Configuration Selection and Priorization\u201d, 2024,\u00a0ACM\/IEEE International Workshop on Quantum\u00a0<\/i>Software Engineering\u00a0<\/span><\/i>(Q-SE2024), Lisbon, Portugal, 2024, ACM, New York, NY,\u00a0<\/span>USA, 21-28,\u00a0https:\/\/doi.org\/10.1145\/3643667.3648221<\/a><\/li>
      5. J. Klamroth and B. Beckert, \u00bbBounding Rounding Errors in the Simulation of Quantum Circuits\u00ab, 2024,\u00a02024 IEEE International Conference on Quantum Software (QSW)<\/i>, Shenzhen, China, pp. 99-106,\u00a0https:\/\/doi.org\/10.1109\/QSW62656.2024.00024<\/a><\/li>
      6. \u00a0K. F. K\u00f6nig, F. Reinecke, W. Hahn and T. Wellens, \u00bbInverted-circuit zero-noise Extrapolation for Quantum Gate Error Mitigation\u00ab, 2024, https:\/\/doi.org\/10.48550\/arXiv.2403.01608<\/a><\/li>
      7. P.-A. Matt and\u00a0<\/span>Marco Roth, \u00bbA heuristic for solving the irregular strip packing problem with quantum optimization\u00ab, 2024,\u00a0https:\/\/doi.org\/10.48550\/arXiv.2402.17542<\/a><\/li>
      8. F. Rapp, D.A. Kreplin and M. Roth, \u00bbReinforcement Learning-based Architecture Search for Quantum Machine Learning\u00ab, 2024,\u00a0https:\/\/doi.org\/10.48550\/arXiv.2406.02717<\/a><\/li>
      9. N. Schillo and A. Sturm, \u00bbQuantum Circuit Learning on NISQ Hardware\u00ab, 2024,\u00a0IEEE Transactions on Quantum Engineering,\u00a0<\/i>\u00bbVariational Quantum Algorithms for Differential Equations on a Noisy Quantum Computer\u00ab,\u00a0https:\/\/ieeexplore.ieee.org\/document\/10848114<\/a><\/li>
      10. N. Schillo, \u00bbQuantum Algorithms and Quantum Machine Learning for Differential Equations\u00ab,
        2024,         https:\/\/elib.uni-stuttgart.de\/handle\/11682\/13885<\/a><\/li>
      11. A. Sturm, B. C. Mummaneni and L. Rullk\u00f6tter, \u00bbUnlocking Quantum Optimization: A Use Case Study on NISQ Systems\u00ab, 2024,\u00a0https:\/\/doi.org\/10.48550\/arXiv.2404.07171<\/a><\/li>
      12. F. Truger, J. Barzen, M. Bechtold, M. Beisel, F. Leymann, A. Mandl, and V. Yussupov, \u00bbWarm-Starting and Quantum Computing: A Systematic Mapping Study\u00ab, 2024,\u00a0https:\/\/doi.org\/10.1145\/3652510\u00a0<\/a><\/li>
      13. D. Eichhorn, T. Pett, T. Osborne, and I. Schaefer, \u201cQuantum Computing for Feature Model Analysis: Potentials and Challenges\u201d, 2023,\u00a027th ACM International\u00a0<\/i>Systems and Software Product Lines Conference (SPLC\u201923),\u00a0https:\/\/doi.org\/10.1145\/3579027.3608971<\/a><\/span><\/i><\/li>
      14. S. Garhofer and O. Bringmann \u00bbUsing an A\u2217-based framework for decomposing combinatorial optimization problems to employ NISQ computers\u00ab in\u00a0Quantum Information Processing<\/em> 22:357, 2023,\u00a0https:\/\/doi.org\/10.1007\/s11128-023-04115-w<\/a><\/li>
      15. J. Klamroth, B. Beckert, M. Scheerer and O. Denninger, \u201cQIn: Enabling Formal Methods to Deal with Quantum Circuits\u201d,\u00a02023
        IEEE International Conference\u00a0<\/i>on Quantum Software\u00a0(QSW)<\/i>, Chicago, IL, USA, 2023 pp. 175-185,\u00a0        https:\/\/doi.org\/10.1109\/QSW59989.2023.00029<\/a><\/li>
      16. G. Ko\u00dfmann, L. Binkowski, C. Tutschku and R. Schwonnek, \u00bbOpen-Shop Scheduling With Hard Constraints\u00ab, 2023,\u00a0https:\/\/doi.org\/10.48550\/arXiv.2211.05822<\/a><\/li>
      17. A. Sturm, \u00bbTheory and Implementation of the Quantum Approximate Optimization Algorithm: A Comprehensible Introduction and Case Study Using Qiskit and IBM Quantum Computers\u00ab, 2023,\u00a0https:\/\/doi.org\/10.48550\/arXiv.2301.09535<\/a><\/li>
      18. C. Tutschku, A. Sturm, F. Kn\u00e4ble, B. C. Mummaneni, D. Pranjic, C. Stephan, D. B. Mayer, G. Ko\u00dfmann, M. Roth, P.-A. Matt, A. Grigorjan, T. Wellens, K. K\u00f6nig, M. Beisel, F. Truger, F. Shagieva, O. Denninger and S. Garhofer, \u00bbQuantencomputing in der industriellen Applikation. Vom Algorithmen-, Markt- und Hardware\u00fcberblick hin zu anwendungszentriertem Quantensoftware-Engineering\u00ab, 2023,\u00a0https:\/\/doi.org\/10.24406\/publica-805<\/a><\/li>
      19. M. Beisel, J. Barzen, F. Leymann, F. Truger, B. Weder and V. Yussupov, \u00bbConfigurable Readout Error Mitigation in Quantum Workflows\u00ab, 2022,\u00a0 in\u00a0Electronics,<\/em>\u00a0Vol. 11(19), MDPI,\u00a0https:\/\/doi.org\/10.3390\/electronics11192983\u00a0<\/a><\/li>
      20. M. Beisel, J. Barzen, F. Leymann, F. Truger, B. Weder and V. Yussupov, \u00bbPatterns for Quantum Error Handling\u00ab, 2022,\u00a0Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022),\u00a0<\/em>ThinkMind(TM) Digital Library<\/a><\/li>
      21. M. Beisel, S. Garhofer, F. Leymann, F. Truger, B. Weder and V. Yussupov, \u00bbQuokka: A Service Ecosystem for Workflow-Based Execution of Variational Quantum Algorithms\u00ab,\u00a02022,\u00a0<\/span>20th International Conference on Service Oriented Computin<\/em>g,\u00a0https:\/\/doi.org\/10.1007\/978-3-031-20984-0<\/a><\/li>
      22. M. Scheerer, J. Klamroth and O. Denninger, \u00bbFault-tolerant Hybrid Quantum Software Systems\u00ab,\u00a0IEEE International Conference on Quantum Software (QSW)<\/em>, 2022, pp. 52-57,\u00a0https:\/\/doi.org\/10.1109\/QSW55613.2022.00023<\/a><\/li>
      23. F. Truger, M. Beisel, J. Barzen, F. Leymann and V. Yussupov, \u00bbSelection and Optimization of Hyperparameters in Warm- Quantum Optimization for the MaxCut Problem\u00ab in\u00a0Electronics<\/em>, MDPI, 2022,\u00a0https:\/\/doi.org\/10.3390\/electronics11192983<\/a><\/li>
      24. D. Vietz, J. Barzen, F. Leymann and B. Weder, \u00bbSplitting Quantum-Classical Scripts for the Generation of Quantum Workflows\u00ab, 2022,\u00a0Proceedings of the 26th Conference on Enterprise Design, Operations, and Computing (EDOC 2022)<\/em>, Springer International Publishing,\u00a0https:\/\/doi.org\/10.1007\/978-3-031-17604-3_15<\/a><\/li>
      25. B. Weder, J. Barzen, M. Beisel and F. Leymann, \u00bbAnalysis and Rewrite of Quantum Workflows: Improving the Execution of Hybrid Quantum Algorithms\u00ab, 2022,\u00a0Proceedings of the 12th International Conference on Cloud Computing and Services Science (CLOSER 2022)<\/em>,\u00a0
        https:\/\/doi.org\/10.5220\/0011035100003200\u00a0<\/a><\/li>
      26. B. Weder, J. Barzen, F. Leymann and D. Vietz, \u00bbQuantum Software Development Lifecycle\u00ab, 2022,\u00a0Quantum Software Engineering<\/em>, Springer International Publishing,\u00a0https:\/\/doi.org\/10.48550\/arXiv.2106.09323<\/a><\/li>
      27. J. Klamroth, M. Scheerer and O. Denninger, \u00bbHolistische Verifikation von Hybriden Quantenprogrammen durch Software Bounded Model Checking\u00ab, 2021,\u00a0Workshop Herausforderungen beim Testen moderner Softwaresysteme @ GI Jahrestagung 2021,\u00a0<\/em>https:\/\/doi.org\/10.18420\/informatik2021-161<\/a><\/li>
      28. M. Scheerer, J. Klamroth and O. Denninger, \u00bbEngineering Reliable Hybrid Quantum Software: An Architectural-driven Approach\u00ab, 2021,\u00a02nd International Workshop on Quantum Software Engineering & Technology (QSET 2021),\u00a0<\/em>https:\/\/ceur-ws.org\/Vol-3008\/short3.pdf<\/a><\/li>
      29. D. Vietz, J. Barzen, F. Leymann and K. Wild, \u00bbOn Decision Support for Quantum Application Developers: Categorization, Comparison, and Analysis of Existing Technologies\u00ab, 2021,\u00a0Computational Science — ICCS 2021<\/em>, pp. 127\u2013141,\u00a0https:\/\/doi.org\/10.1007\/978-3-030-77980-1_10<\/a><\/li>
      30. D. Vietz, J. Barzen, F. Leymann, B. Weder and V. Yussupov, \u00bbAn Exploratory Study on the Challenges of Engineering Quantum Applications in the Cloud\u00ab, 2021,\u00a0Proceedings of the 2nd Quantum Software Engineering and Technology Workshop (Q-SET 2021) co-located with IEEE International Conference on Quantum Computing and Engineering (QCE21)<\/em>, pp. 1\u201312,\u00a0https:\/\/ceur-ws.org\/Vol-3008\/paper1.pdf<\/a><\/li>
      31. B. Weder, J. Barzen, F. Leymann and M. Zimmermann, \u00bbHybrid Quantum Applications Need Two Orchestrations in Superposition: A Software Architecture Perspective\u00ab, 2021,\u00a0Proceedings of the 18th IEEE International Conference on Web Services (ICWS 2021)<\/em>, pp. 1-13, https:\/\/doi.org\/10.1109\/ICWS53863.2021.00015<\/a><\/li>
      32. M. Weigold, J. Barzen, F. Leymann and D. Vietz, \u00bbPatterns for Hybrid Quantum Algorithms\u00ab, 2021,\u00a0Proceedings of the 15th Symposium and Summer School on Service-Oriented Computing (SummerSOC 2021)<\/em>, pp. 34\u201351,\u00a0https:\/\/doi.org\/10.1007\/978-3-030-87568-8_2<\/a><\/li><\/ol><\/li><\/ol><\/li><\/ol>

        In Preparation\/ Handed in\u00a0<\/span><\/p>