Scientific publications

References
Consortium partner
Date
Link
Steinmüller, Patrick; Schulz, Tobias; Graf, Ferdinand; Herr, Daniel: eXplainable AI for Quantum Machine Learning, arXiv:2211.01441
d-fine
10.2023

https://arxiv.org/pdf/2211.01441.pdf

Tomislav Piskor, Peter Pinski, Thilo Mast, Vladimir V. Rybkin: “Multi-level Protocol for Mechanistic Reaction Studies Using Semi-local Fitted Potential Energy Surfaces” in arXiv:2304.00942
HSQ
2023

https://doi.org/10.48550/arXiv.2304.00942

Patricia Bickert, Cristian Grozea, Ronny Hans, Matthias Koch, Christina Riehn, Armin Wolf: “Optimising Rolling Stock Planning including Maintenance with Constraint Programming and Quantum Annealing”, revised version, arXiv:2109.07212
Fraunhofer FOKUS, DB-Systel
2023

https://arxiv.org/abs/2109.07212

Darya Martyniuk, Naouel Karam, Michael Falkenthal, Yufan Dong, Adrian Paschke: "Semantifying the PlanQK Platform and Ecosystem for Quantum Applications", Vol. 56 "Knowledge Graphs: Semantics, Machine Learning, and Languages", pp. 235 - 242, 2023
Fraunhofer FOKUS, Anaqor
2023

https://ebooks.iospress.nl/volumearticle/64024

Leo Sünkel, Darya Martyniuk, Denny Mattern, Johannes Jung, Adrian Paschke, “GA4QCO: genetic algorithm for quantum circuit optimization”, arXiv:2302.01303
LMU, Fraunhofer FOKUS
2023

01/04/2023https://arxiv.org/abs/2302.01303

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Sünkel, L., Martyniuk, D., Reichwald, J. J., Morariu, A., Seggoju, R. H., Altmann, P., ... & Paschke, A. (2023). Hybrid Quantum Machine Learning Assisted Classification of COVID-19 from Computed Tomography Scans. arXiv preprint arXiv:2310.02748.
Fraunhofer FOKUS, LMU, SR
2023

https://arxiv.org/abs/2310.02748

Beisel, Martin; Barzen, Johanna; Garhofer, Simon; Leymann, Frank; Truger, Felix; Weder, Benjamin; Yussupov, Vladimir: Quokka: A Service Ecosystem for Workflow-Based Execution of Variational Quantum Algorithms. In: Service-Oriented Computing – ICSOC 2022 Workshops, Springer, 2023.
USTUTT (IAAS)
2023

https://doi.org/10.1007/978-3-031-26507-5_35

Beisel, Martin; Barzen, Johanna; Bechtold, Marvin; Leymann, Frank; Truger, Felix; Weder, Benjamin: QuantME4VQA: Modeling and Executing Variational Quantum Algorithms Using Workflows. In: Proceedings of the 13th International Conference on Cloud Computing and Services Science (CLOSER 2023), SciTePress, 2023.
USTUTT (IAAS)
2023

10.5220/0011997500003488

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Bühler, Fabian; Barzen, Johanna; Beisel, Martin; Georg, Daniel; Leymann, Frank; Wild, Karoline: Patterns for Quantum Software Development. In: Proceedings of the 15th International Conference on Pervasive Patterns and Applications (PATTERNS 2023), Xpert Publishing Services (XPS), 2023.
USTUTT (IAAS)
2023

 

Furutanpey, Alireza; Barzen, Johanna; Bechtold, Marvin; Dustdar, Schahram; Leymann, Frank; Raith, Philipp; Truger, Felix: Architectural Vision for Quantum Computing in the Edge-Cloud Continuum. In: 2023 IEEE International Conference on Quantum Software (QSW), IEEE, 2023.
USTUTT (IAAS)
2023

10.1109/QSW59989.2023.00021

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Georg, Daniel; Barzen, Johanna; Beisel, Martin; Leymann, Frank; Obst, Julian; Vietz, Daniel; Weder, Benjamin; Yussupov, Vladimir: Execution Patterns for Quantum Applications. In: Proceedings of the 18th International Conference on Software Technologies - ICSOFT, SciTePress, 2023.
USTUTT (IAAS)
2023

10.5220/0012057700003538

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Weder, Benjamin; Barzen, Johanna; Beisel, Martin; Leymann, Frank: Provenance-Preserving Analysis and Rewrite of Quantum Workflows for Hybrid Quantum Algorithms. In: SN Computer Science. Vol. 4(233), Springer, 2023.
USTUTT (IAAS)
2023

https://doi.org/10.1007/s42979-022-01625-9

Harzenetter, Lukas; Breitenbücher, Uwe; Binz, Tobias; Leymann, Frank: An Integrated Management System for Composed Applications Deployed by Different Deployment Automation Technologies. In: SN Computer Science. Vol. 4(370), Springer, 2023.
USTUTT (IAAS)
2023

https://doi.org/10.1007/s42979-023-01810-4

Bechtold, Marvin; Barzen, Johanna; Leymann, Frank; Mandl, Alexander; Obst, Julian; Truger, Felix; Weder, Benjamin: Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices. In: Quantum Science and Technology. Vol. 8(4), IOP Publishing, 2023.
USTUTT (IAAS)
2023

10.1088/2058-9565/acf59c

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Gemeinhardt, Felix; Garmendia, Antonio; Wimmer, Manuel; Weder, Benjamin; Leymann, Frank: Quantum Combinatorial Optimization in the NISQ Era: A Systematic Mapping Study. In: ACM Computing Surveys. Vol. 56(3), ACM, 2023.
USTUTT (IAAS)
2023

https://doi.org/10.1145/3620668

Mackeprang, Jelena; Bhatti, Daniel; Barz, Stefanie: Non-adaptive measurement-based quantum computation on IBM Q. In: Q. Sci Rep. Vol. 13(15428), 2023.
USTUTT (FMQ)
2023

https://doi.org/10.1038/s41598-023-41025-4

Kumar, Shreya; Bhatti, Daniel; Jones, Alex E.; Barz, Stefanie: Experimental entanglement generation using multiport beam splitters. New J. Phys. 25, 063027, 2023.
USTUTT (FMQ)
2023

10.1088/1367-2630/acdd1a

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Bhatti, Daniel; Barz, Stefanie: Generating Greenberger-Horne-Zeilinger states using multiport splitters. Phys. Rev. A 107, 033714, 2023.
USTUTT (FMQ)
2023

https://doi.org/10.1103/PhysRevA.107.033714

Bayerbach, Matthias; D'Aurelio, Simone; van Loock, Peter; Barz, Stefanie: Bell-state measurement exceeding 50% success probability with linear optics. In: Science Advances, vol. 9(32), 2023.
USTUTT (FMQ)
2023

10.1126/sciadv.adf4080

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Abdou, Kirolos, et al. "Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks." Journal of Intelligent Manufacturing (2023): 1-17.
TRUMPF
2023

Smartnesting: estimating geometrical compatibility in the nesting problemusing graph neural networks | Journal of Intelligent Manufacturing(springer.com)

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Beisel, Martin; Gemeinhardt, Felix; Salm, Marie; Weder, Benjamin: A Practical Introduction for Developing and Operating Hybrid Quantum Applications. In: Web Engineering – ICWE 2023, Springer, 2023.
USTUTT (IAAS)
2023

https://doi.org/10.1007/978-3-031-34444-2_36

Salm, Marie; Barzen, Johanna; Leymann, Frank; Wundrack, Philipp: How to Select Quantum Compilers and Quantum Computers Before Compilation. In: Proceedings of the 13th International Conference on Cloud Computing and Services Science (CLOSER 2023), SciTePress, 2023.
USTUTT (IAAS)
2023

10.5220/0011775300003488

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Mackeprang, Jelena; Bhatti, Daniel; Hoban, Matty J.; Barz, Stefanie: The power of qutrits for non-adaptive measurement-based quantum computing. New J. Phys. 25, 073007, 2023.
USTUTT (FMQ)
2023

10.1088/1367-2630/acdf77

Tomislav Piskor, Jan-Michael Reiner, Sebastian Zanker, Nicolas Vogt, Michael Marthaler, Frank K. Wilhelm, and Florian G. Eich: “Using gradient-based algorithms to determine ground-state energies on a quantum computer” in Phys. Rev. A 105, 062415 (2022)
HSQ
2022

https://doi.org/10.1103/PhysRevA.105.062415

Weder, Benjamin; Barzen, Johanna; Leymann, Frank; Vietz, Daniel: Quantum Software Development Lifecycle. In: Quantum Software Engineering, Springer International Publishing, 2022
USTUTT (IAAS)
2022

https://doi.org/10.1007/978-3-031-05324-5_4

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Ilie-Daniel Gheorghe-Pop, Adrian Paschke, Denny Matter, Darya Martyniuk, Colin Kai-Uwe Becker, Nikolay Tcholtchev: “Ansätze für die strukturierte Entwicklung, das Testen und den Betrieb quantenbasierter ICT-Systeme” in “Quantum Technologies” Hrsg.: Reimund Neugebauer; Fraunhofer ZV, München, 2022, Fraunhofer Verlag, ISBN 978-3-8396-1850-9
FOKUS
2022

https://www.bookshop.fraunhofer.de/buch/quantum-technologies/255485

Barzen, Johanna; Leymann, Frank: Quantencomputing als Integrationsproblem: Quantenanwendungen sind in der Praxis immer hybride. In: Chancen und Risiken der Quantentechnologien, Springer 2022.
USTUTT (IAAS)
2022

https://doi.org/10.1007/978-3-658-37534-8_12

Beisel, Martin; Barzen, Johanna; Leymann, Frank; Truger, Felix; Weder, Benjamin; Yussupov, Vladimir: Configurable Readout Error Mitigation in Quantum Workflows. In: Electronics. Vol. 11(19), MDPI, 2022
USTUTT (IAAS)
2022

https://doi.org/10.3390/electronics11192983

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Vietz, Daniel; Barzen, Johanna; Leymann, Frank; Weder, Benjamin: Splitting Quantum-Classical Scripts for the Generation of Quantum Workflows. In: Proceedings of the 26th Conference on Enterprise Design, Operations, and Computing (EDOC 2022), Springer International Publishing, 2022
USTUTT (IAAS)
2022

https://doi.org/10.1007/978-3-031-17604-3_15

Rückle, Lukas; Budde, Jakob; de Jong, Jarn; Hahn, Frederik; Pappa, Anna; Barz, Stefanie: Experimental anonymous conference key agreement using linear cluster states. arXiv:2207.09487, 2022.
USTUTT (FMQ)
2022

https://doi.org/10.48550/arXiv.2207.09487

Nold, Raphael; et al.: A Quantum Optical Microphone in the Audio Band. PRX Quantum 3, 020358, 2022.
USTUTT (FMQ)
2022

https://doi.org/10.1103/PRXQuantum.3.020358

Jones, Alex E.; Kumar, Shreya; D'Aurelio, Simone; Bayerbach, Matthias; Menssen, Adrian J.; Barz, Stefanie: Distinguishability and mixedness in quantum interference. arXiv:2201.04655, 2022.
USTUTT (FMQ)
2022

https://doi.org/10.48550/arXiv.2201.04655

Hinsche, M., Ioannou, M., Nietner, A., Haferkamp, J., Quek, Y., Hangleiter, D., ... & Sweke, R. (2022). A single $ T $-gate makes distribution learning hard. arXiv preprint arXiv:2207.03140.
FUB
2022

https://arxiv.org/abs/2207.03140

Meyer, J. J., Mularski, M., Gil-Fuster, E., Mele, A. A., Arzani, F., Wilms, A., & Eisert, J. (2022). Exploiting symmetry in variational quantum machine learning. arXiv preprint arXiv:2205.06217.
FUB
2022

https://arxiv.org/abs/2205.06217

Hinsche, M., Ioannou, M., Nietner, A., Haferkamp, J., Quek, Y., Hangleiter, D., ... & Sweke, R. (2021). Learnability of the output distributions of local quantum circuits. arXiv preprint arXiv:2110.05517.
FUB
2022

https://arxiv.org/abs/2110.05517

Schreiber, Franz J., Jens Eisert, and Johannes Jakob Meyer. "Classical surrogates for quantum learning models." arXiv preprint arXiv:2206.11740 (2022).
FUB
2022

https://arxiv.org/abs/2206.11740

Marc Geitz, Cristian Grozea, Wolfgang Steigerwald, Robin Stöhr, Armin Wolf: Solving the Extended Job Shop Scheduling Problem with AGVs – Classical and Quantum Approaches; International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR), Los Angeles, California, USA, June 2022
Fraunhofer FOKUS und Telekom (T-Labs)
2022

https://sites.google.com/usc.edu/cpaior-2022/accepted-papers

Bühler, Fabian; Barzen, Johanna; Harzenetter, Lukas; Leymann, Frank: Combining the Best of Two Worlds: Microservices and Micro Frontends as Basis for a new Plugin Architecture. In: Proceedings of the 16th Symposium and Summer School on Service-Oriented Computing (SummerSOC 2022), Springer International Publishing, 2022.
USTUTT (IAAS)
2022

https://doi.org/10.1007/978-3-031-18304-1_1

Salm, Marie; Barzen, Johanna; Leymann, Frank; Wundrack, Philipp: Optimizing the Prioritization of Compiled Quantum Circuits by Machine Learning Approaches. In: Proceedings of the 16th Symposium and Summer School on Service-Oriented Computing (SummerSOC 2022), Springer International Publishing, 2022.
USTUTT (IAAS)
2022

https://doi.org/10.1007/978-3-031-18304-1_9

Salm, Marie; Barzen, Johanna; Leymann, Frank; Weder, Benjamin: Prioritization of Compiled Quantum Circuits for Different Quantum Computers. In: Proceedings of the 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2022), IEEE, 2022
USTUTT (IAAS)
2022

10.1109/SANER53432.2022.00150

Beisel, Martin; Barzen, Johanna; Leymann, Frank; Truger, Felix; Weder, Benjamin; Yussupov, Vladimir: Patterns for Quantum Error Handling. In: Proceedings of the 14th International Conference on Pervasive Patterns and Applications (PATTERNS 2022), Xpert Publishing Services (XPS), 2022
USTUTT (IAAS)
2022

https://www.thinkmind.org/index.php?view=article&articleid=patterns_2022_2_10_70007

Weder, Benjamin; Barzen, Johanna; Beisel, Martin; Leymann, Frank: Analysis and Rewrite of Quantum Workflows: Improving the Execution of Hybrid Quantum Algorithms. In: Proceedings of the 12th International Conference on Cloud Computing and Services Science (CLOSER 2022), SciTePress, 2022
USTUTT (IAAS)
2022

10.5220/0011035100003200

Johanna Barzen, Frank Leymann: Continued Fractions and Probability Estimations in the Shor Algorithm -- A Detailed and Self-Contained Treatise. In: AppliedMath. Vol. 2(3), MDPI, 2022
USTUTT (IAAS)
2022

https://doi.org/10.3390/appliedmath2030023

Truger, Felix; Beisel, Martin; Barzen, Johanna; Leymann, Frank; Yussupov, Vladimir: Selection and Optimization of Hyperparameters in Warm-Started Quantum Optimization for the MaxCut Problem. In: Electronics. Vol. 11(7), MDPI, 2022
USTUTT (IAAS)
2022

https://doi.org/10.3390/electronics11071033

Roch, Christoph; Winderl, David; Linnhoff-Popien, Claudia; Feld, Sebastian: A Quantum Annealing Approach for Solving Hard Variants of the Stable Marriage Problem. In: Accepted at I4CS, Communications in Computer and Information Science, Springer LNCS
LMU
2022

 

Gabor, Thomas; Lachner, Michael; Kraus, Nico; Roch, Christoph; Stein, Jonas; Ratke, Daniel; Linnhoff-Popien, Claudia: Modifying the Quantum-Assisted Genetic Algorithm. In: Accepted at GECCO '22: Genetic and Evolutionary Computation Conference
LMU
2022

 

Gabor, Thomas; Zorn, Maximilian; Linnhoff-Popien, Claudia: The Applicability of Reinforcement Learning for the Automatic Generation of State Preparation Circuits. In: Accepted at GECCO '22: Genetic and Evolutionary Computation Conference
LMU
2022

 

Johanna Barzen: From Digital Humanities to Quantum Humanities: Potentials and Applications. In: Miranda, E.R. (eds) Quantum Computing in the Arts and Humanities. Springer, Cham. https://doi.org/10.1007/978-3-030-95538-0_1
USTUTT (IAAS)
2022

https://doi.org/10.1007/978-3-030-95538-0_1

Madadi, Lucine: Application of Quantum Computing to Use Cases from Travel & Transport Industries, Bachelorarbeit; Sep 2021
Lucine Madadi (IBM) supported by Fabian Klos (FCE, PlanQK)
09.2021

https://github.com/ansrev/qaoa_routing/blob/main/bericht.pdf

Evaluation of parameterized quantum circuits: On the relation between classification accuracy, expressibility and entangling capability, T. Hubregtsen, J. Pichlmeier, P. Stecher, K. Bertels, Quantum Machine Intelligence 3, 1 (2021).
FUB
2021

https://arxiv.org/abs/2003.09887

Voigt, Dominik; Kopp, Oliver; Wild, Karoline: Systematic Literature Review Tools: Are we there yet?. In: Proceedings of the 13th Central European Workshop on Services and their Composition (ZEUS 2021), CEUR-WS.org, 2021
USTUTT (IAAS)
2021

https://ceur-ws.org/Vol-2839/paper13.pdf

Képes, Kálmán; Leymann, Frank; Weder, Benjamin; Wild, Karoline: SiDD: The Situation-Aware Distributed Deployment System. In: Service-Oriented Computing – ICSOC 2020 Workshops, Springer International Publishing, 2021.
USTUTT (IAAS)
2021

https://doi.org/10.1007/978-3-030-76352-7_11

Thalacker, Christopher; Hahn, Frederik; de Jong, Jarn; Pappa, Anna; Barz, Sebastian: Anonymous and secret communication in quantum networks. New J. Phys. 23, 083026, 2021.
USTUTT (FMQ)
2021

https://iopscience.iop.org/article/10.1088/1367-2630/ac1808

Demirel, Bülent; Weng, Weikai; Thalacker, Christopher; Hoban, Matty J.; Barz, Stefanie: Correlations for computation and computation for correlations. npj Quantum Information 7, 29, 2021.
USTUTT (FMQ)
2021

https://www.nature.com/articles/s41534-020-00354-2

Weder, Benjamin; Barzen, Johanna; Leymann, Frank; Zimmermann, Michael: Hybrid Quantum Applications Need Two Orchestrations in Superposition: A Software Architecture Perspective. In: Proceedings of the 18th IEEE International Conference on Web Services (ICWS 2021), IEEE, 2021
USTUTT (IAAS)
2021

10.1109/ICWS53863.2021.00015

Harzenetter, Lukas; Breitenbücher, Uwe; Falazi, Ghareeb; Leymann, Frank; Wersching, Adrian: Automated Detection of Design Patterns in Declarative Deployment Models. In: Proceedings of the 14th IEEE/ACM International Conference on Utility Cloud Computing (UCC 2021), ACM, 2021
USTUTT (IAAS)
2021

https://doi.org/10.1145/3468737.3494085

Vietz, Daniel; Barzen, Johanna; Leymann, Frank; Wild, Karoline: On Decision Support for Quantum Application Developers: Categorization, Comparison, and Analysis of Existing Technologies. In: Computational Science – ICCS 2021, Springer International Publishing, 202
USTUTT (IAAS)
2021

https://doi.org/10.1007/978-3-030-77980-1_10

Vietz, Daniel; Barzen, Johanna; Leymann, Frank; Weder, Benjamin; Yussupov, Vladimir: An Exploratory Study on the Challenges of Engineering Quantum Applications in the Cloud. In: Proceedings of the 2nd Quantum Software Engineering and Technology Workshop (Q-SET 2021) co-located with IEEE International Conference on Quantum Computing and Engineering (QCE21), CEUR Workshop Proceedings, 2021
USTUTT (IAAS)
2021

http://ceur-ws.org/Vol-3008/paper1.pdf

Weder, Benjamin; Barzen, Johanna; Leymann, Frank: MODULO: Modeling, Transformation, and Deployment of Quantum Workflows. In: Proceedings of the 25th IEEE International Enterprise Distributed Object Computing Workshop (EDOCW 2021), IEEE Computer Society, 2021
USTUTT (IAAS)
2021

10.1109/EDOCW52865.2021.00067

Weder, Benjamin; Barzen, Johanna; Leymann, Frank; Salm, Marie; Wild, Karoline: QProv: A provenance system for quantum computing. In: IET QuantumCommunication. Vol. 2(4), Wiley Online Library, 2021
USTUTT (IAAS)
2021

https://doi.org/10.1049/qtc2.12012

Weigold, Manuela; Barzen, Johanna; Leymann, Frank; Salm, Marie: Encoding patterns for quantum algorithms. In: IET QuantumCommunication. Vol. 2(4), Wiley Online Library, 2021
USTUTT (IAAS)
2021

https://doi.org/10.1049/qtc2.12032

Barzen, Johanna; Leymann, Frank: Quantencomputing in den Digital Humanities: innovativ oder übertrieben? In: ZfdG - Zeitschrift für digitale Geisteswissenschaften. Fabrikation von Erkenntnis: Experimente in den Digital Humanities, Melusina Press, 2021
USTUTT (IAAS)
2021

https://www.melusinapress.lu/read/melusina-8f8w-y749-qidd/section/0e09064f-48e3-40d5-8734-d86fff94abd2

Gheorghe-Pop, Ilie-Daniel; Tcholtchev, Nikolay; Ritter, Tom; Hauswirth, Manfred: Computer Scientist's and Programmer's View on Quantum Algorithms: Mapping Functions' APIs and Inputs to Oracles (Computing Conference <2021, Online>), In: Arai, Kohei (Editor): Intelligent Computing. Computing Conference 2021. Proceedings. Vol.1: Held virtually, July 15 and 16, 2021. Cham: Springer Nature, 2022. (Lecture Notes in Networks and Systems 283), pp. 188-203
Fraunhofer FOKUS
2021

http://dx.doi.org/10.1007/978-3-030-80119-9_9

Jan Dennis Gumz: Trendblatt Quantencomputing, In: Jens Fromm und Mike Weber, Hg., ÖFIT-Trendschau: Öffentliche Informationstechnologie in der digitalisierten Gesellschaft. Berlin: Kompetenzzentrum Öffentliche IT
Fraunhofer FOKUS
2021

https://www.oeffentliche-it.de/-/quantencomputing

Adrian Paschke, Nikolay Tcholtchev: Quanten Computing und Künstliche Intelligenz - Anwendungen, In: Quantencomputing Teil 2 - Künstliche Intelligenz und Quantencomputing, Konrad-Adenauer-Stiftung e. V. 2021, Berlin
Fraunhofer FOKUS
2021

https://www.kas.de/de/einzeltitel/-/content/kuenstliche-intelligenz-und-quantencomputing

Sebastian Bock, David Jacob Drexlin, Jana Foehlisch, Ilie-Daniel Gheorghe-Pop, Isabell Heider, Jan-Rainer Lahmann, Florian Neukart, Lennart Schulze, Nikolay Tcholtchev: Eigenbau - Quantenspiele, IBMs Qiskit und RasQberry, In: iX 2021 Special Quantencomputer, S. 108
Fraunhofer FOKUS
2021

https://www.heise.de/select/ix/2021/13/2108318453580151978

Marc Geitz, Cristian Grozea, Wolfgang Steigerwald, Robin Stöhr, Armin Wolf: Solving the Extended Job Shop Scheduling Problem with AGVs -- Classical and Quantum Approaches
Fraunhofer FOKUS und Telekom
2021

https://arxiv.org/abs/2109.07212

Sebastian Bock, Adrian Paschke: Klassische versus Quantenprogrammierung: der Random Walk; In: iX 2021 Special Quantencomputer, S. 98
Fraunhofer FOKUS
2021

https://www.heise.de/select/ix/2021/13/2106818574276485331

Cristian Grozea, Ronny Hans, Matthias Koch, Christina Riehn, Armin Wolf: Optimising Rolling Stock Planning including Maintenance with Constraint Programming and Quantum Annealing
Fraunhofer FOKUS und DB Systel
2021

https://arxiv.org/abs/2109.07212

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Müller, T., Roch, C., Schmid, K., & Altmann, P. (2021). Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines. arXiv preprint arXiv:2109.10900.
LMU
2021

https://arxiv.org/abs/2109.10900

Lucine Madadi: Application of Quantum Computing to Use Cases from Travel & Transport Industries
IBM
2021

https://github.com/PlanQK/qaoa_routing

Denny Mattern, Darya Martyniuk, Henri Willems, Fabian Bergmann, Adrian Paschke: Variational Quanvolutional Neural Networks with enhanced image encoding
Fraunhofer FOKUS
2021

https://arxiv.org/abs/2106.07327

Martyniuk, Darya; Falkenthal, Michael; Karam, Naouel; Paschke, Adrian; Wild; Karoline: An Analysis of Ontological Entities to Represent Knowledge on Quantum Computing Algorithms and Implementations. In: QURATOR 2021 – Conference on Digital Curation Technologies, 2021.
Fraunhofer FOKUS, USTUTT (IAAS), StoneOne
2021

http://ceur-ws.org/Vol-2836/qurator2021_paper_15.pdf

Weigold, Manuela; Barzen, Johanna; Leymann, Frank; and Vietz, Daniel: Patterns For Hybrid Quantum Algorithms. In: Proceedings of the 15th Symposium and Summer School on Service-Oriented Computing (SummerSOC 2021), Springer International Publishing, 2021
USTUTT (IAAS)
2021

https://doi.org/10.1007/978-3-030-87568-8_2

Salm, Marie; Barzen, Johanna; Leymann, Frank; Weder, Benjamin; Wild, Karoline: Automating the Comparison of Quantum Compilers for Quantum Circuits. In: Proceedings of the 15th Symposium and Summer School on Service-Oriented Computing (SummerSOC 2021), Springer International Publishing, 2021
USTUTT (IAAS)
2021

https://doi.org/10.1007/978-3-030-87568-8_4

Roch, Christoph, et al. "Cross Entropy Optimization of Constrained Problem Hamiltonians for Quantum Annealing", In: International Conference on Computational Science. Springer, Cham, 2021.
LMU
2021

https://link.springer.com/chapter/10.1007/978-3-030-77980-1_5

Weigold, Manuela; Barzen, Johanna; Leymann, Frank; Salm, Marie: Expanding Data Encoding Patterns For Quantum Algorithms. In: 2021 IEEE 18th International Conference on Software Architecture Companion (ICSA-C), IEEE, 2021
USTUTT (IAAS)
2021

10.1109/ICSA-C52384.2021.00025

Weder, Benjamin; Barzen, Johanna; Leymann, Frank; Salm, Marie: Automated Quantum Hardware Selection for Quantum Workflows. In: Electronics. Vol. 10(8), MDPI, 2021,
USTUTT (IAAS)
2021

https://doi.org/10.3390/electronics10080984

Frank Leymann, Johanna Barzen: Hybrid Quantum Applications Need Two Orchestrations in Superposition: A Software Architecture Perspective
USTUTT (IAAS)
2021

https://arxiv.org/abs/2103.04320

A variational toolbox for quantum multi-parameter estimation, J. J. Meyer, J. Borregaard, J. Eisert, Nature Partner Journal Quantum Information 7, 89 (2021).
FUB
2021

https://arxiv.org/abs/2006.06303

Training quantum embedding kernels on near-term quantum computers, T. Hubregtsen, D. Wierichs, E. Gil-Fuster, P.-J. H. S. Derks, P. K. Faehrmann, J. Jakob Meyer, arXiv:2105.02276.
FUB
2021

https://arxiv.org/abs/2105.02276

Encoding-dependent generalization bounds for parametrized quantum circuits, M. Caro, E. Gil-Fuster, J. J. Meyer, J. Eisert, R. Sweke (2021)
FUB
2021

https://quantum-journal.org/papers/q-2021-11-17-582/

On the quantum versus classical learnability of discrete distributions, R. Sweke, J.-P. Seifert, D. Hangleiter, J. Eisert, Quantum 5, 417 (2021).
FUB
2021

https://arxiv.org/abs/2007.14451

Single-component gradient rules for variational quantum algorithms, T. Hubregtsen, F. Wilde, S. Qasim, J. Eisert (2021); Quantum Science and Technology, Volume 7, Number 3
FUB
2021

https://doi.org/10.1088/2058-9565/ac6824

Effect of data encoding on the expressive power of variational quantum-machine-learning models, M. Schuld, R. Sweke, and J. J. Meyer, Physical Review A 103, 032430 (2021).
FUB
2021

https://doi.org/10.1103/PhysRevA.103.032430

Fisher Information in noisy intermediate-scale quantum applications, J. J. Meyer, Quantum 5, 539.
FUB
2021

https://doi.org/10.22331/q-2021-09-09-539

Randomizing multi-product formulas for improved Hamiltonian simulation, P. K. Faehrmann, M. Steudtner, R. Kueng, M. Kieferova, J. Eisert, arXiv:2101.07808.
FUB
2021

https://arxiv.org/abs/2101.07808

‍

Barzen, Johanna; Leymann, Frank; Falkenthal, Michael; Vietz, Daniel; Weder, Benjamin; Wild, Karoline: Relevance of Near-Term Quantum Computing in the Cloud: A Humanities Perspective. In: Ferguson D., Pahl C., Helfert M. (eds) Cloud Computing and Services Science. CLOSER 2020. Communications in Computer and Information Science, vol 1399. Springer 2021.
USTUTT (IAAS)
2021

https://doi.org/10.1007/978-3-030-72369-9_2

‍

Frank Leymann, Johanna Barzen: Pattern Atlas. In: Aiello M., Bouguettaya A., Tamburri D.A., van den Heuvel WJ. (eds) Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future. Lecture Notes in Computer Science, vol 12521. Springer, Cham. https://doi.org/10.1007/978-3-030-73203-5_5
USTUTT (IAAS)
2021

https://doi.org/10.1007/978-3-030-73203-5_5

D. Jaroszewski, F. Klos, B. Sturm: Ising formulations of routing optimization problems
FCE Frankfurt Consulting Engineers GmbH
2020

https://arxiv.org/abs/2012.05022

Gheorghe-Pop, Ilie-Daniel; Tcholtchev, Nikolay; Ritter, Tom; Hauswirth, Manfred: Quantum DevOps: Towards reliable and applicable NISQ Quantum Computing (Global Communications Conference (GLOBECOM) <2020, Online>) In: Institute of Electrical and Electronics Engineers -IEEE-: IEEE Globecom Workshops, GC Wkshps 2020. Proceedings: Virtual conference, 7-11 December 2020. Piscataway, NJ: IEEE, 2020, 6 pp.
Fraunhofer FOKUS
2020

http://dx.doi.org/10.1109/GCWkshps50303.2020.9367411

Christian Bauckhage, Eduardo Brito, Inga Daase, Lukas Franken, Bogdan Georgiev, Dirk Hecker, Adrian Paschke, Nico Piatkowski, Thomas Soddemann:Quantum Machine Learning- Eine Analyse zu Kompetenz, Forschung und Anwendung, Fraunhofer Allianz Big Data und Künstliche Intelligenz, September 2020
Fraunhofer FOKUS
2020

https://www.bigdata.fraunhofer.de/de/big-data/kuenstliche-intelligenz-und-maschinelles-lernen/quantum-ml.html

Salm, Marie; Barzen, Johanna; Leymann, Frank; Weder, Benjamin: About a criterion of successfully executing a circuit in the NISQ era: What wd << 1/epsilon_eff really means. In: Proceedings of the 1st ACM SIGSOFT International Workshop on Architectures and Paradigms for Engineering Quantum Software (APEQS 2020), ACM, 2020
USTUTT (IAAS)
2020

https://dl.acm.org/doi/10.1145/3412451.3428498

Weder, Benjamin; Barzen, Johanna; Leymann, Frank; Salm, Marie; Vietz, Daniel: The Quantum Software Lifecycle. In: Proceedings of the 1st ACM SIGSOFT International Workshop on Architectures and Paradigms for Engineering Quantum Software (APEQS 2020), ACM, 2020
USTUTT (IAAS)
2020

https://dl.acm.org/doi/10.1145/3412451.3428497

Weder, Benjamin; Breitenbücher, Uwe; Leymann, Frank; Wild, Karoline: Integrating Quantum Computing into Workflow Modeling and Execution. In: Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2020), IEEE Computer Society, 2020.
USTUTT (IAAS)
2020

10.1109/UCC48980.2020.00046

Closing gaps of a quantum advantage with short-time Hamiltonian dynamics, J. Haferkamp, D. Hangleiter, A. Bouland, B. Fefferman, J. Eisert, J. Bermejo-Vega, Phys. Rev. Lett. 125, 250501 (2020)
FUB
2020

https://arxiv.org/abs/1908.08069

Weigold, Manuela; Barzen, Johanna; Leymann, Frank; Salm, Marie: Data Encoding Patterns for Quantum Algorithms. In: Proceedings of the 27th Conference on Pattern Languages of Programs (PLoP ’20), HILLSIDE, 2020.
USTUTT (IAAS)
2020

https://hillside.net/plop/2020/papers/proceedings/papers/02-weigold.pdf

Quantum certification and benchmarking, J. Eisert, D. Hangleiter, N. Walk, I. Roth, D. Markham, R. Parekh, U. Chabaud, E. Kashefi, Nature Reviews Physics 2, 382-390 (2020).
FUB
2020

https://arxiv.org/abs/1910.06343

Wild, Karoline; Breitenbücher, Uwe; Leymann, Frank; Vietz, Daniel; Zimmermann, Michael: TOSCA4QC: Two Modeling Styles for TOSCA to Automate the Deployment and Orchestration of Quantum Applications. In: 2020 IEEE 24th International Enterprise Distributed Object Computing Conference (EDOC), 2020.
USTUTT (IAAS)
2020

 

Tensor network approaches for learning non-linear dynamical laws, A. Goeßmann, M. Götte, I. Roth, R. Sweke, G. Kutyniok, J. Eisert, NeurIPS 2020 (2020).
FUB
2020

https://arxiv.org/abs/2002.12388

Stochastic gradient descent for hybrid quantum-classical optimization, R. Sweke, F. Wilde, J. Meyer, M. Schuld, P. K. Faehrmann, B. Meynard-Piganeau, J. Eisert, Quantum 4, 314 (2020).
FUB
2020

https://quantum-journal.org/papers/q-2020-08-31-314/

Roch, C., Impertro, A., Phan, T., Gabor, T., Feld, S., & Linnhoff-Popien, C. (2020). Cross Entropy Hyperparameter Optimization for Constrained Problem Hamiltonians Applied to QAOA. In: Proceedings of the IEEE International Conference on Rebooting Computing (ICRC), 2020
LMU
2020

https://ieeexplore.ieee.org/document/9325349

Frank Leymann, Johanna Barzen (2020): The bitter truth about gate-based quantum algorithms in the NISQ era. In: Quantum Sci. Technol. 5 044007
USTUTT (IAAS)
2020

https://doi.org/10.1088/2058-9565/abae7d

Marie Salm, Johanna Barzen, Uwe Breitenbücher, Frank Leymann, Benjamin Weder, Karoline Wild: The NISQ Analyzer: Automating the Selection of Quantum Computers for Quantum Algorithms. In: Proceedings of the 14th Symposium and Summer School On Service-Oriented Computing (SummerSOC), 2020
USTUTT (IAAS)
2020

https://arxiv.org/abs/2003.13409

Manuela Weigold, Johanna Barzen, Uwe Breitenbücher, Michael Falkenthal, Frank Leymann, and Karoline Wild: Pattern Views: Concept and Tooling for Interconnected Pattern Languages. In: Proceedings of the 14th Symposium and Summer School On Service-Oriented Computing (SummerSOC), 2020
USTUTT (IAAS)
2020

https://arxiv.org/abs/2003.09127

Leymann, Frank; Barzen, Johanna; Falkenthal, Michael; Vietz, Daniel; Weder, Benjamin; Wild, Karoline: Quantum in the Cloud: Application Potentials and Research Opportunities. In: Proceedings of the 10th International Conference on Cloud Computing and Services Science (CLOSER), 2020
USTUTT (IAAS)
2020

https://www.scitepress.org/ProceedingsDetails.aspx?ID=G0NMP0fVQpE=&t=1

‍

T. Gabor, L. Suenkel, F. Ritz, L. Belzner, C. Roch, S. Feld, and C. Linnhoff-Popien, "The Holy Grail of Quantum Artificial Intelligence: Challenges in Accelerating the Machine Learning Pipeline," in Accepted at the 1st International Workshop on Quantum Software Engineering (QSE at ICSE), 2020
LMU
2020

https://dl.acm.org/doi/abs/10.1145/3387940.3391469

Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning, I. Glasser, R. Sweke, N. Pancotti, J. Eisert, J. I. Cirac, Advances in Neural Information Processing Systems 32, Proceedings of the NeurIPS 2019 Conference (2019), arXiv:1907.03741
FUB
2019

https://arxiv.org/abs/1907.03741

Talks & Articles

Titel
Author / Speaker
Typ
Event / Location
Date
Link
PlanQK User Governance
David Niehaus (SO)
Industry presentation
DLR exchange meeting BMWK funding projects
December 13, 2023

 

Quo Vadis PlanQK?
David Niehaus (SO)
Industry presentation
PlanQK final event, Berlin
December 7, 2023

 

From the lab to your door step: Industrial applications of quantum computers
Matthias Kaiser (SO)
Industry lecture
Digital Summit of the Federal Government, Jena
November 20, 2023

 

Quo Vadis PlanQK?
David Niehaus (SO)
Industry presentation
BMWK funding projects information event, Berlin
November 1, 2023

 

Quantum Software Engineering and Integration
Michael Falkenthal (SO)
Industry lecture
Quantum Effects, Stuttgart
October 11, 2023

 

Frictionless Quantum with PlanQK
Michael Falkenthal (SO)
Industry lecture
Quantum Effects, Stuttgart
October 10, 2023

 

Quo Vadis PlanQK?
David Niehaus (SO)
Industry lecture
PlanQK Meetup, Berlin
September 28, 2023

 

Introduction to PlanQK
David Niehaus (SO)
Delegation trip
FDT Roadshow Switzerland 2022
September 5, 2023

 

Introduction to PlanQK - Combining Quantum Coding and Software Engineering
David Niehaus (SO)
Industry lecture
Technikum Vienna Summer School 2023
August 25, 2023

 

Introduction to PlanQK
David Niehaus (SO)
Industry lecture
Fraunhofer IAO Training Program
July 4, 2023

 

PlanQK gives SMEs the quantum key to success!
David Niehaus (SO)
Video
Digital Technologies Forum
June 30, 2023

 https://www.digitale-technologien.de/DT/Redaktion/DE/Kurzmeldungen/Aktuelles/2023/FDT/230630-technologiescout-planqk.html

Platform and ecosystem for quantum applications
David Niehaus (SO)
Industry lecture
Platform Industry 4.0 - 25th Meeting of the Expert Group Research, Development and Innovation: Quantum Technology - Future Technology for Production, Part 1
June 30, 2023

 

Integrating quantum computing into existing process landscapes
David Niehaus (SO)
Industry lecture
World of Quantum, Munich
June 27, 2023

 

Implementing needs-based AI services - opportunities and Challenges
David Niehaus (SO)
Panel discussion
AI Summer Campus, Berlin
June 22, 2023

 

Quantum Computing: New opportunities & solutions
David Niehaus (SO)
Industry lecture
DxD Conference, Berlin
June 19, 2023

 

From the lab to your door step:Industrial applications of quantum computers
Matthias Kaiser (SO)
Industry lecture
Demo Day Forum Digital Technologies, Berlin
June 19, 2023

 

Using the PlanQK knowledge platform
Dr. Sebastian Wagner (SO)
Webinar
PlanQK webinar: "Using the PlanQK knowledge platform"
June 1, 2023

 

Enabling the Future
Matthias Kaiser (SO)
Industry lecture
Monitor Deloitte Emerging Tech Training, Berlin
May 31, 2023

 

ANAQOR – Enabling Frictionless Quantum
David Niehaus (SO)
Industry lecture
Quantum Technologies: Venture Capital and Industry meets Startups and Talent
May 3, 2023

 

ANAQOR – Enabling Frictionless Quantum
David Niehaus (SO)
Industry lecture
Guest Lecture @ "Strategies & Business Models of Digital Transformation", TU Berlin
April 28, 2023

 

Platform and ecosystem for quantum applications
Michael Falkenthal (SO) & David Niehaus (SO)
Industry lecture
2nd Tranche Synergy Workshop of the DLR Accompanying Research, Berlin
April 26, 2023

 

Quantum computing - what is it and how does PlanQK help?
David Niehaus (SO)
Industry lecture
Pitch event "With digital technologies to success" on the topic of "Application potential of quantum computing in logistics and production"
March 30, 2023

 

The PlanQK and EniQmA research projects
David Niehaus (SO)
Panel discussion
CONFARE CIO Conference, Vienna
March 29, 2023

 

Utilising quantum computing smoothly
David Niehaus (SO)
Industry lecture
The Future of Intelligent Transport Systems (ITS): Quantum Computing in Aviation, Logistics and Mobility, Frankfurt
November 28, 2022

 

What services can I use to activate my ecosystem?
David Niehaus (SO)
Panel discussion
Networking event AI innovation competition
November 24, 2022

 

Using quantum computing smoothly
David Niehaus (SO)
Industry lecture
BearingPoint NEW Technology, Berlin
November 16, 2022

 

Quantum Computing as a Service - Cloud-based and automated QML Solutions for Industrial Use Cases
David Niehaus (SO) together with Fraunhofer IAO
Industry lecture
Fraunhofer IAO training programme
November 14, 2022

 

Frictionless Quantum with PlanQK
David Niehaus (SO)
Industry lecture
Jour Fixe SDaC Consortium
November 3, 2022

 

API-fication of Quantum Algorithms and Applications or paving the road to frictionless quantum
Michael Falkenthal (SO)
Trade fair presentation
OPENSLAVA '22, Bratislava
October 19, 2022

 

Introduction to PlanQK
David Niehaus (SO)
Panel discussion
T-Systems ATTIC Conference, Online
October 14, 2022

 

Quantum-Supported Maritime Navigation
Felix Paul (SO) & Dr. Wolfgang Mergenthaler (FCE)
Trade fair presentation
SMM Hamburg,
September 7, 2022

 

PlanQK
Prof. Frank Leymann (USTUTT) & David Niehaus (SO)
Stand, live demo & panel discussion
Days of Digital Technologies, Berlin
August 29, 2022

 

APIfication of Quantum Computing applications
David Niehaus (SO)
Industry lecture
T-SYSTEMS INNOVATION STREET FOOD FEST, Budapest
August 3, 2022

 

PlanQK@SEQOIA
Michael Falkenthal (SO)
Industry lecture
SEQOIA network meeting
August 2, 2022

 

API-fication of Quantum Algorithms – A perspective for frictionless integration
Michael Falkenthal (SO)
Industry lecture
Quantum Village Ehningen
July 12, 2022

 

Consuming quantum applications in the future
David Niehaus (SO)
Industry lecture
QPhot Network
July 7, 2022

 

Quantum computing in business processes integrate
David Niehaus (SO)
Industry lecture
World of Data 2022
July 7, 2022

 

Fostering Platform Economy in a Collaborative Quantum Computing Ecosystem
Michael Falkenthal (SO)
Conference presentation
SummerSOC 2022
July 6, 2022

https://www.youtube.com/watch?v=9Q_fMj-XAY4

Communicating data and AI-based solutions to target groups
David Niehaus (SO)
Accompanying research lecture
Lecture as part of the accompanying research SDW and KI-IW
June 30, 2022

 

Making quantum computing possible for companies of all sizes
David Niehaus (SO)
Industry lecture
WIKOIN 22, Ingolstadt
June 30, 2022

 

Presentation of the PlanQK research project
David Niehaus (SO)
Industry lecture
Networking workshop with other BMWK projects
June 7, 2022

 

Deploy quantum computing applications to users with PlanQK
David Niehaus (SO)
Industry lecture
Fraunhofer IAO/IAF QC Education Programme | Quantum Computing Eco System: Software Technology Providers
May 31, 2022

 

PlanQK at the BMWK stand
USTUTT / SO
Trade fair
Hanover Fair 2022
May 30, 2022

 

Utilising quantum computing - results of the PlanQK project
David Niehaus (SO)
Trade fair presentation
Hanover Fair 2022
May 30, 2022

 

Presentation PlanQK
David Niehaus (SO)
Industry lecture
Deloitte Climate Quantum Challenge 2022
May 20, 2022

 

Introduction to PlanQK
David Niehaus (SO)
Industry lecture
PlanQK Industry Day “Medicine & Machine Learning”
May 17, 2022

 

Quantum Computing as a Service: Cloud-based and automated QML Solutions for Industrial Use Cases
David Niehaus (SO)
Industry lecture
Bitkom Quantum Summitt 2022
May 12, 2022

 

Integrate Quantum in Enterprise processes
David Niehaus (SO)
Industry lecture
VOICE quantum computing expert group
April 26, 2022

 

Integration of quantum computing into business processes
David Niehaus (SO)
Industry lecture
BVMW Internet and Digital Commission
April 26, 2022

 

Quantum computing & artificial intelligence for SMEs
David Niehaus (SO)
Industry lecture
Brandenburg Technology Evening
April 18, 2022

 

Introduction to PlanQK
David Niehaus (SO)
Industry lecture
PlanQK Industry Day “Financial Services”
April 13, 2022

 

Introduction to PlanQK
David Niehaus (SO)
Industry lecture
PlanQK Industry Day “Telecommunications”
March 17, 2022

 

Introduction to PlanQK
David Niehaus (SO)
Industry lecture
PlanQK Industry Day "Telecommunications"
January 26, 2022

  

Presentation of PlanQK at QUIC General Board Meeting
Manfred Rieck (DB)
Industry lecture
General Board QUIC
November 5, 2021

 

Starting the quantum incubation journey with business experiments and partnerships
Tim Leonhardt
Lecture
Politecnico di Milano - Workshops Osservatori Digital Innovation: L’offerta tecnologica di Quantum Computing: player e startup
May 5, 2021

  

PlanQk trade fair 2021: "Quantum boost for optimisation"
Ulrike Ostler
Article
Datacenter Insider
March 30, 2021

https://www.datacenter-insider.de/planqk-messe-2021-quanten-boost-fuer-die-optimierung-a-1011631/

‍

Randomizing multi-product formulas for improved Hamiltonian simulation
Paul Fährmann (FUB)
Talk
APS March Meeting
March 18, 2021

   

The emerging quantum computing ecosystem
Dr. Matthias Ziegler (Accenture)
Keynote
Quantum Business Europe
March 16, 2021

https://www.quantumbusinesseurope.com/conference-program/

‍

Quantum Computing & Artificial Intelligence | SIBB Expert Knowledge Compact
David Niehaus (SO)
Video
SIBB Expert Knowledge Compact
February 24, 2021

https://www.youtube.com/watch?v=uw5Sx60nVK8

Randomizing multi-product formulas for improved Hamiltonian simulation
Paul Fährmann (FUB)
Poster
The international Conference on Quantum Information Processing (QIP)
February 4, 2021

    

Quantum Incubation Journey: Theory Founded Use Case and Technology Selection
Sebastian Senge, Tim Leonhardt, Kinan Halabi (Accenture)
Article
Digitale Welt
February 1, 2021

https://digitaleweltmagazin.de/magazin/

‍

Quantum Computing & Artificial Intelligence | SIBB Expert Knowledge Compact
David Niehaus (SO)
Industry lecture
SIBB Forum Digital Platforms & Tech
January 26, 2021

https://www.youtube.com/watch?v=rmr_bLSBjSA

Quantum computing for network operators - Deutsche Telekom participates in PlanQK
Ulrike Ostler
Article
Datacenter Insider
January 19, 2021

https://www.datacenter-insider.de/quanten-computing-fuer-netzbetreiber--die-telekom-beteiligt-sich-an-planqk-a-992717/

‍

Deutsche Telekom focuses on research into quantum technologies
M. Geitz (DT)
Website
Deutsche Telekom, Media information
January 18, 2021

https://www.telekom.com/de/medien/medieninformationen/detail/telekom-setzt-auf-die-erforschung-von-quantentechnologien-616016

‍

More Internet for everyone: T-Labs and Fujitsu optimise the use of network infrastructure
Anne-Marie Tumescheit
Blog post
Fujitsu Blog, online
December 23, 2020

https://blog.de.fujitsu.com/allgemeines/mehr-internet-fuer-alle-t-labs-und-fujitsu-optimieren-die-nutzung-der-netzinfrastruktur/

‍

Tensor Networks as a Data Structure in Probabilistic Modelling and for Learning Dynamical Laws from Data
Jens Eisert (FUB)
Lecture
NeurIPS 2020: First Workshop on Quantum Tensor Networks in Machine Learning
December 11, 2020

https://tensorworkshop.github.io/NeurIPS2020/program.html

Genetische Algorithmen: Classical and Quantum
Christoph Roch (LMU)
Webinar
December 4, 2020

  

Machine Learning: Berlin Science Week
Darya Martyniuk & Denny Mattern (Fraunhofer FOKUS)
Lecture
Berlin Science Week
November 4, 2020

https://www.fokus.fraunhofer.de/de/fokus/event/science_week2020

‍

Improving Quantum Sensing with Quantum Computers
Johannes Jakob Meyer (FUB)
Lecture
IOP Quantum 2020, Online
October 21, 2020

https://screencast-o-matic.com/watch/cY6e2jKolc

What Functions can Quantum Computers Learn?
Johannes Jakob Meyer (FUB)
Lecture
IOP Quantum 2020, Online
October 19, 2020

https://screencast-o-matic.com/watch/cY6e68K2SF

Quantum Devices: Simulation, Supremacy, and Optimization
Jens Eisert (FUB)
Lecture
Quantum and Physics based machine learning
July 7, 2020

https://ellisqphml.github.io/qphml2020.html#ellis-qphml-2020

‍

Quantum computing in the NISQ era
Frank Leymann (USTUTT)
Webinar
June 4, 2020

 

Introduction to variational quantum algorithms
Johannes Meyer (FUB)
Webinar
May 29, 2020

 

Quantum in the Cloud: Application Potentials and Research Opportunities
Frank Leymann (USTUTT)
Keynote
10th International Conference on Cloud Computing and Services Science, CLOSER 2020
May 8, 2020

http://closer.scitevents.org/KeynoteSpeakers.aspx#3

Quantum Optimization using Quantum Annealers
Christoph Roch (LMU)
Webinar
May 7, 2020

 

Towards closing the loopholes of showing a quantum advantage for quantum simulators
Jens Eisert (FUB)
Lecture
Quantum Devices: Simulation, Supremacy, and Optimization
May 4, 2020

https://simons.berkeley.edu/workshops/schedule/10560

Supervised Learning Using Quantum Technology
Benedikt Sturm (FCE), Daniel Jaroszewski (FCE)
Paper
PHM Europe in Turin, July 27-31, 2020
April 30, 2020

https://github.com/danieljaro/tfq-example-predictivemaintenance/blob/master/Supervised%20Learning%20using%20Quantum%20Technology.pdf

Quantum platforms and programming languages
Frank Leymann (USTUTT)
Webinar
April 16, 2020

 

Building and promoting the community
David Niehaus (SO)
Webinar
April 14, 2020

 

Industrial Relevance of Near-Term Quantum Computing
Frank Leymann, Johanna Barzen (USTUTT)
Industry Lecture
StoneOne AG, Berlin
March 6, 2020

 

Into the future with quantum bits - Quantum computers represent a revolution in artificial intelligence
Dennis Yücel
Article - Tagesspiegel of the FU Berlin
February 11, 2020

https://www.fu-berlin.de/presse/publikationen/tsp/2020/tsp-februar-2020/quantenbits/index.html

‍

Introducing Quantum Computing: Fundamentals and Applications
Frank Leymann, Johanna Barzen (USTUTT)
Invited colloquium lecture with presentation of PlanQK
University of Cologne
February 6, 2020

https://cceh.uni-koeln.de/2020/01/23/einfuhrung-in-quanten-computing-gastvortrag-prof-dr-frank-leymann-johanna-barzen-6-februar-2020/

‍

PlanQK – Quantum Computing Meets Artificial Intelligence: how to make an ambitious idea reality
Frank Leymann (USTUTT), Andreas Liebing (SO), Matthias Rosenkranz (d-fine), Wolfgang Mergenthaler (FCE)
Specialist article - Digitale Welt Magazin
February 1, 2020

https://digitaleweltmagazin.de/aktuelle-ausgabe-02-2020/

Open-Source Code

Name
Link to repository
n-Queens Problem for Quantum Annealing
struqture
qoqo
Active Space Finder
Code for the "Quantum Deep Hedging" use case
Code for the use case and paper "eXplainable AI for Quantum Machine Learning", P. Steinmüller, T. Schulz, F. Graf & D. Herr, arXiv:2211.01441
Quantum-inspired optimisation (wrapper around ETH code)
Code for anomaly detection with quantum GANs, D. Herr, B. Obert, M. Rosenkranz, Quantum Sci. Technol. 6 045004, 10.1088/2058-9565/ac0d4d
Modelling of energy systems (unit commitment problem)
Repository mit Code zum Paper “Variational Quanvolutional Neural Networks with enhanced image encoding”, D. Mattern, D. Martyniuk, H. Willems, F. Bergmann, A. Paschke, arXiv:2106.07327
Demo: Trainable Quantum-Convolutions
Repository mit Begleitcode zum Paper “The effect of data encoding on the expressive power of variational quantum machine learning models”, M. Schuld, R. Sweke, J. J. Meyer, arXiv:2008.08605

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