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
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
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
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
Leo Sünkel, Darya Martyniuk, Denny Mattern, Johannes Jung, Adrian Paschke, “GA4QCO: genetic algorithm for quantum circuit optimization”, arXiv:2302.01303
LMU, Fraunhofer FOKUS
2023
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
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
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
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
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
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
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
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
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
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
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
Bhatti, Daniel; Barz, Stefanie: Generating Greenberger-Horne-Zeilinger states using multiport splitters. Phys. Rev. A 107, 033714, 2023.
USTUTT (FMQ)
2023
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
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
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
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
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
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
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
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
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
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
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
Nold, Raphael; et al.: A Quantum Optical Microphone in the Audio Band. PRX Quantum 3, 020358, 2022.
USTUTT (FMQ)
2022
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
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
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
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
Schreiber, Franz J., Jens Eisert, and Johannes Jakob Meyer. "Classical surrogates for quantum learning models." arXiv preprint arXiv:2206.11740 (2022).
FUB
2022
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Sebastian Bock, Adrian Paschke: Klassische versus Quantenprogrammierung: der Random Walk; In: iX 2021 Special Quantencomputer, S. 98
Fraunhofer FOKUS
2021
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
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
Lucine Madadi: Application of Quantum Computing to Use Cases from Travel & Transport Industries
IBM
2021
Denny Mattern, Darya Martyniuk, Henri Willems, Fabian Bergmann, Adrian Paschke: Variational Quanvolutional Neural Networks with enhanced image encoding
Fraunhofer FOKUS
2021
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
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
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
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
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
Frank Leymann, Johanna Barzen: Hybrid Quantum Applications Need Two Orchestrations in Superposition: A Software Architecture Perspective
USTUTT (IAAS)
2021
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
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
Encoding-dependent generalization bounds for parametrized quantum circuits, M. Caro, E. Gil-Fuster, J. J. Meyer, J. Eisert, R. Sweke (2021)
FUB
2021
On the quantum versus classical learnability of discrete distributions, R. Sweke, J.-P. Seifert, D. Hangleiter, J. Eisert,
Quantum 5, 417 (2021).
FUB
2021
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
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
Fisher Information in noisy intermediate-scale quantum applications, J. J. Meyer, Quantum 5, 539.
FUB
2021
Randomizing multi-product formulas for improved Hamiltonian simulation, P. K. Faehrmann, M. Steudtner, R. Kueng, M. Kieferova, J. Eisert, arXiv:2101.07808.
FUB
2021
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
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
D. Jaroszewski, F. Klos, B. Sturm: Ising formulations of routing optimization problems
FCE Frankfurt Consulting Engineers GmbH
2020
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Quantum Hardware Selection
Marie Salm (USTUTT)
Exhibition stand lecture
Messe Quantum Effects - Qoool Camp ‘23, Stuttgart
October 11, 2023
Frictionless Quantum with PlanQK
Michael Falkenthal (SO)
Industry lecture
Quantum Effects, Stuttgart
October 10, 2023
Quantum Computing – Should you care?
Daniel Ohl de Mello (d-fine)
Lecture
Platform Engineering Tribe Day, ING Belgium
October 2, 2023
Quo Vadis PlanQK?
David Niehaus (SO)
Industry lecture
PlanQK Meetup, Berlin
September 28, 2023
d-fine Quantum Computing Use Cases
Daniel Ohl de Mello (d-fine)
Lecture
PlanQK consortium meeting
September 28, 2023
Semantifying the PlanQK Platform and Ecosystem for Quantum Applications
Darya Martyniuk (Fraunhofer FOKUS)
Poster
PlanQK Meetups
September 28, 2023
How to benefit from Quantum Computing
Matthias Kaiser (Anaqor), Daniel Herr (d-fine)
Lecture
bitkom Quantum Summit
September 20, 2023
Introduction to PlanQK
David Niehaus (SO)
Delegation trip
FDT Roadshow Switzerland 2022
September 5, 2023
QKI-supported COVID-19 diagnosis
Dr. Sigird Auweter (SR)
Lecture
World of Quantum 2023
September 1, 2023
Introduction to PlanQK - Combining Quantum Coding and Software Engineering
David Niehaus (SO)
Industry lecture
Technikum Vienna Summer School 2023
August 25, 2023
Anomaly detection for credit card transactions
Daniel Herr (d-fine)
Lecture
d-fine Quantum Summit
July 29, 2023
Quantum Deep Hedging
Hendrik Heine, Daniel Ohl de Mello (d-fine)
Lecture
d-fine Quantum Summit
July 20, 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
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
QC in Manufacturing: How can it help?
Frederick Struckmeier (TRUMPF)
Lecure
World of Quantum
June 28, 2023
Integrating quantum computing into existing process landscapes
David Niehaus (SO)
Industry lecture
World of Quantum, Munich
June 27, 2023
LLMs for Question Answering for the PlanQK Knowledge Platform
Adrian Paschke (FOKUS)
Panel
SummerSOC 2023 Panel on LLMs and Their Impact
June 27, 2023
Automated duty scheduling in healthcare
Stephanie Strobel (Planerio)
Lecture
World of Quantum
June 26, 2023
Learnings in innovation management - Cooperation possibilities between large companies and startups
Benno Rott (Virality GmbH)
Keynote
TechDays 2023
June 26, 2023
Quantum Software Engineering: Dawn of a New Research Area
Frank Leymann / Johanna Barzen (USTUTT)
Invited guest lecture
Foundation for Research and Technology - Hellas (FORTH), Crete, Greece
June 23, 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
Lesson planning with quantum computing
Benno Rott, Maya Gerhard, Sven Neumann (Virality GmbH)
Lecture at the exhibition stand
DIDACTA 2022
June 7, 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
Genetic Algorithm for Quantum Circuit Optimization
Johannes Jung, Darya Martyniuk (Fraunhofer FOKUS)
Poster
Einstein Research Unit on Quantum Devices
May 5, 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
Basics of Quantum Computing, Quantum Machine Learning, and QHAna
Frank Leymann / Johanna Barzen (USTUTT)
Invited guest lecture
Vienna University of Economics and Business (WU), Vienna, Austria
March 22, 2023
Quantum Software Engineering: Dawn of a New Research Area
Frank Leymann / Johanna Barzen (USTUTT)
Invited colloquium lecture
Technische Universität Wien (TUV), Wien, Österreich
March 16, 2023
Lesson planning with quantum computing
Benno Rott, Maya Gerhard, Sven Neumann (Virality GmbH)
Lecture at the exhibition stand
DIDACTA 2023
March 7, 2023
GA4QCO: Genetic Algorithm for Quantum Circuit Optimization
Darya Martyniuk (Fraunhofer FOKUS)
Poster
26th Conference on Quantum Information Processing QIP´23
February 6, 2023
Fraud detection for credit card transactions
d-fine
Lecture
PlanQK consortium meeting
December 8, 2022
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
Potentials and applications of Quantum Humanities
Johanna Barzen (USTUTT)
Colloquium lecture
Vienna University of Technology (TUV), Vienna, Austria
November 23, 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
Lesson planning with quantum computing
Benno Rott, Frederic Schulz (Virality GmbH)
Lecture at the exhibition stand
05/08/2020
November 10, 2022
Frictionless Quantum with PlanQK
David Niehaus (SO)
Industry lecture
Jour Fixe SDaC Consortium
November 3, 2022
Quantum topological data analysis
Frank Leymann (USTUTT)
PlanQK Webinar
November 3, 2022
Batching with Tensorflow Quantum and IBM Q
d-fine
Lecture
PlanQK AK4 meeting
October 21, 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
Heuristics for the Bell inequality: Background to the 2022 Nobel Prize in Physics
Frank Leymann (USTUTT)
PlanQK Webinar
October 14, 2022
Applying quantum computing to the unit commitment problem
Oliver Siccha, Benjamin Obert (d-fine)
Lecture
PlanQK Industry Day for Energy
September 22, 2022
Approaches for Simulating Battery Materials Using Near Future Quantum Computers
Jan Reiner (HQS)
Lecture
PlanQK Industry Day for Energy
September 22, 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
Use case "Lesson planning with quantum computing"
Felix Zenz (Virality GmbH)
Lecture
PlanQK AK 4 meeting
August 12, 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
AI is more than just machine learning
Stephanie Strobel (Planerio)
Article/Contribution
AWV information
August 1, 2022
How can current quantum computing help with ML tasks?
Patrick Steinmüller, Daniel Herr (d-fine)
Lecture
Quant Insights Conference: Quantum Computing in Finance, CQF Institute
July 13, 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
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
Lesson planning with quantum computing
Benno Rott, Felix Zenz, Frederic Schulz (Virality GmbH)
Lecture at the exhibition stand
TechDays 2022
June 27, 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
Scheduling and duty roster optimisation in medicine
Stefan Klußmann (Planerio)
Lecture
PlanQK Industry Days Medicine & Machine Learning
May 17, 2022
QKI-gestützte COVID-19 Diagnose
Dr. Julia Reichwald (SR)
Leo Sünkel (LMU)
Lecture
Industry Day Medicine and Machine Learning
May 17, 2022
Quantum-assisted AI and xAI
d-fine
Lecture
PlanQK Industry Day Medicine & ML
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
Automated Scheduling in the Healthcare Sector
Stefan Klußmann (Planerio)
Lecture
Bitkom Quantum Summit
May 12, 2022
Quantum Machine Learning - Approaches, Applications and Results
Patrick Steinmüller (d-fine)
Lecture
HU Berlin
May 5, 2022
Anomaly detection by Quantum-Classical Artificial Intelligence
Maximilian Raaff, Sebastian Pfaff (d-fine)
Lecture
Students’ Association for Data Analytics & Statistics (STADS) e.V.
April 28, 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
Cost optimisation of energy networks
d-fine
Lecture
PlanQK AK4 meeting
April 8, 2022
QC in SMEs: Current use of QC software in the economy
Frank Leymann (USTUTT)
Panel discussion (VDI)
VDI, Berlin
March 22, 2022
Introduction to PlanQK
David Niehaus (SO)
Industry lecture
PlanQK Industry Day “Telecommunications”
March 17, 2022
Duty rostering is employee satisfaction planning - Automated duty scheduling with intelligent algorithms
Stephanie Strobel (Planerio)
Lecture
Web conference of the AWV working group 1.4 "Organisational aspects of the use of automation and artificial intelligence"
March 9, 2022
Staff scheduling in healthcare - Duty rostering for hospitals, large practices and nursing care
Christoph Roch (LMU) and Stephanie Strobel (Planerio)
Interview & Article
Quantum computing - software for innovative and sustainable applications: Potentials, development, access
March 1, 2022
Fraud detection on credit card transactions
d-fine
Lecture
PlanQK AK4 meeting
February 25, 2022
PlanQK Planerio use case duty roster optimisation
Christoph Roch (LMU) and Stephanie Strobel (Planerio)
Lecture
PlanQK Webinar
February 11, 2022
Introduction to PlanQK
David Niehaus (SO)
Industry lecture
PlanQK Industry Day "Telecommunications"
January 26, 2022
Duty rostering is employee satisfaction planning - Automated duty rostering in the healthcare sector
Stephanie Strobel (Planerio)
Lecture
Bayern Innovativ - Quantum computing in practice: Industry-specific use cases
December 15, 2021
QC in der Industrie: Job Shop Scheduling
Frederick Struckmeier (TRUMPF)
Lecture
Quantum computing in practice, online, hosted by bayern innovativ
December 15, 2021
QC in the industry: Job shop scheduling
Frederick Struckmeier (TRUMPF)
Leucture
Quantum computing in practice: industry-specific applications: Manufacturing Processes, online, hosted by bayern innovativ
December 15, 2021
QKI-assisted diagnosis of COVID-19 in radiological images
Dr. Sigrid Auweter (SR), Leo Sünkel (LMU)
Lecture
BayernInnovativ Event - Quantum computing in practice: industry-specific use cases
December 15, 2021
QKI-assisted diagnosis of COVID-19 in radiological images
Dr. Sigrid Auweter (SR), Leo Sünkel (LMU)
Lecture
BayernInnovativ Event - Quantum computing in practice: industry-specific use cases
December 15, 2021
Presentation of PlanQK at QUIC General Board Meeting
Manfred Rieck (DB)
Industry lecture
General Board QUIC
November 5, 2021
https://www.awv-net.de/aktuelles/awv-informationen/2022/awv-informationen-4-2022.html
Frederick Struckmeier (TRUMPF)
Lecture
Science meet Industry, online, hosted by Baden-Württemberg International
October 21, 2021
"Measuring is easy!" is presumptuous
Frank Leymann (USTUTT)
PlanQK Webinar
October 7, 2021
Randomizing multi-product formulas for improved Hamiltonian simulation
Paul Fährmann (FUB)
Talk
DPG conference of the SAMOP
September 24, 2021
Understanding Variational Quantum Learning Models
Johannes Jakob Meyer (FUB)
Conference lecture
DPG SAMOP 2021
September 20, 2021
Long distance quantum computing
Andreas Liebing & David Niehaus (StoneOne)
Lecture
Vodafone Enterprise Plenum
August 24, 2021
From Digital Humanities to Quantum Humanities: On the decoding of vestimentary communication in film
Johanna Barzen (USTUTT)
Invited lecture
University of Jena, Project Group "Freedom Spaces and Securing Freedom in the Digital State"
August 12, 2021
wattxINSIGHTS - Quantum Computing
David Niehaus & Felix Paul (StoneOne)
Lecture
wattxInsights
July 22, 2021
Variational Quanvolutional Neural Networks
Denny Mattern (FOKUS)
Lecture
Fraunhofer Solutions Day
July 8, 2021
Hybrid quantum applications
Frank Leymann (USTUTT)
PlanQK Webinar
July 7, 2021
Pattern and Pattern Languages
Frank Leymann (USTUTT)
Invited industry lecture
Industrial Internet Consortium (Pattern TG), virtuell
June 16, 2021
Entanglement and the shifting of barriers
Frank Leymann (USTUTT)
PlanQK Webinar
June 10, 2021
Conversatorium "Quo vadis, Quantum Computing"
Frank Leymann / Johanna Barzen (IAAS)
Invited lecture
University of Vienna
June 9, 2021
BdB cooperates with PlanQK
Article
Stock exchange journal
May 28, 2021
Real Quantum Computing Insights
Tom Ewen, Dr. Cristian Grozea (Fraunhofer FOKUS) , Dr. Nico Piatkowski, Dr. Niko Tcholtchev (Fraunhofer FOKUS) Dr. Hannah Venzl, Jürgen Winkler (Fraunhofer FOKUS)
Lecture
Workshop Bitkom quantum summit
May 27, 2021
The PlanQK Projekt
Adrian Paschke, Fraunhofer FOKUS
Lecture
InfoWeekDay at Fraunhofer FOKUS
May 11, 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
The Power of Quantum Computing
Frank Leymann (USTUTT)
TU Vienna Webinar
April 19, 2021
Quantum computing for the production of tomorrow
Fraunhofer FOKUS
Exhibition contribution
Hannover Event2021
April 13, 2021
Webinar Quality Engineer for Quantencomputing
Fraunhofer FOKUS
PlanQK Webinar
April 12, 2021
PlanQk trade fair 2021: "Quantum boost for optimisation"
Ulrike Ostler
Article
Datacenter Insider
March 30, 2021
QUBOs as a bridging technology using the example of job shop scheduling
Dr. Cristian Grozea (Fraunhofer FOKUS)
Lecture
PlanQK Exhibition
March 19, 2021
Provider of quantum computing solutions
Adrian Paschke
Session
PlanQK Exhibition Breaktout Session
March 19, 2021
Duty roster optimisation in the healthcare sector
Stephanie Strobel (Planerio)
Lecture
Breakout Session PlanQK Messe
March 19, 2021
Cost optimisation of energy networks
Benjamin Obert (d-fine)
Lecture
PlanQK Exhibition
March 19, 2021
Realising the potential of quantum simulations
Jan Reiner (HQS)
Lecture
Virtual PlanQK fair
March 19, 2021
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
Quantum Computing & Artificial Intelligence | SIBB Expert Knowledge Compact
David Niehaus (SO)
Video
SIBB Expert Knowledge Compact
February 24, 2021
The Bitter Truth About Quantum Algorithms in the NISQ Era
The Bitter Truth About Quantum Algorithms in the NISQ Era
QC Talks Webinar
February 24, 2021
An Analysis of Ontological Entities to represent Knowledge on Quantum Computing Algorithms and Implementations
Darya Martyniuk
Scientific Workshop
Conference Qurator 2021
February 11, 2021
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
Quantum Computing & Artificial Intelligence | SIBB Expert Knowledge Compact
David Niehaus (SO)
Industry lecture
SIBB Forum Digital Platforms & Tech
January 26, 2021
Quantum computing for network operators - Deutsche Telekom participates in PlanQK
Ulrike Ostler
Article
Datacenter Insider
January 19, 2021
Deutsche Telekom focuses on research into quantum technologies
M. Geitz (DT)
Website
Deutsche Telekom, Media information
January 18, 2021
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
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
Genetische Algorithmen: Classical and Quantum
Christoph Roch (LMU)
Webinar
December 4, 2020
Quantum Boltzmann Machine with use case MNIST data reconstruction and insights to address chemical problems
Dean Smith
Lecture
PlanQK Webinar
November 6, 2020
Machine Learning: Berlin Science Week
Darya Martyniuk & Denny Mattern
(Fraunhofer FOKUS)
Lecture
Berlin Science Week
November 4, 2020
Improving Quantum Sensing with Quantum Computers
Johannes Jakob Meyer (FUB)
Lecture
IOP Quantum 2020, Online
October 21, 2020
What Functions can Quantum Computers Learn?
Johannes Jakob Meyer (FUB)
Lecture
IOP Quantum 2020, Online
October 19, 2020
Simulation of quantum mechanical systems with the help of quantum computers
Jan Reiner (HQS)
PlanQK Webinar
September 17, 2020
Anomaly detection with quantum GANs
d-fine
Lecture
PlanQK AK 4 meeting
September 11, 2020
Fundamental quantum algorithms 2: HHL, VQE and QAOA
Frank Leymann (USTUTT)
PlanQK Webinar
July 23, 2020
Quantum Devices: Simulation, Supremacy, and Optimization
Jens Eisert (FUB)
Lecture
Quantum and Physics based machine learning
July 7, 2020
Fundamental quantum algorithms 1: Quantum Fourier transform and phase determination
Frank Leymann (USTUTT)
PlanQK Webinar
July 2, 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 Inspired Classical Optimization
Daniel Herr, Benjamin Obert, Matthias Rosenkranz (d-fine)
Lecture
PlanQK consortium meeting
May 14, 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
Lesson planning with QC
Felix Zenz, Benno Rott (Virality Gmbh)
Lecture
PlanQK consortium meeting
May 8, 2020
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
Supervised Learning Using Quantum Technology
Benedikt Sturm (FCE),
Daniel Jaroszewski (FCE)
Paper
PHM Europe in Turin, July 27-31, 2020
April 30, 2020
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
Introducing Quantum Computing: Fundamentals and Applications
Frank Leymann, Johanna Barzen (USTUTT)
Invited colloquium lecture with presentation of PlanQK
University of Cologne
February 6, 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
Quanten Computing Interview
Manfred Hauswirth (FOKUS)
Interview
Research compact
February 1, 2020
PlanQK project presentation and poster
Adrian Paschke, Fraunhofer FOKUS
Poster
Fraunhofer industry workshops "Quantum computing"
January 23, 2020
Open-Source Code
Name
Link to repository
n-Queens Problem for Quantum Annealing
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
