Projekte
Publikationen
Artikel in Zeitschriften
- Mandl, Alexander; Barzen, Johanna; Bechtold, Marvin; Leymann, Frank; Wild, Karoline: Amplitude amplification-inspired QAOA: improving the success probability for solving 3SAT. In: Quantum Science and Technology. Vol. 9(1), IOP Publishing, 2024. pdf,
BibTeX
@article{Mandl2023_AmplitudeAmplificationQAOA, Title = {{Amplitude amplification-inspired QAOA: improving the success probability for solving 3SAT}}, Author = {Mandl, Alexander and Barzen, Johanna and Bechtold, Marvin and Leymann, Frank and Wild, Karoline}, Year = 2024, Month = jan, Journal = {Quantum Science and Technology}, Publisher = {IOP Publishing}, articleno = {015028}, Volume = {9}, Number = {1}, Doi = {10.1088/2058-9565/ad141d}, url = {https://iopscience.iop.org/article/10.1088/2058-9565/ad141d}, projects = {PlanQK,EniQmA} }
- 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. pdf,
BibTeX
@article{Bechtold2023_CircuitCuttingQAOA, Title = {{Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices}}, Author = {Bechtold, Marvin and Barzen, Johanna and Leymann, Frank and Mandl, Alexander and Obst, Julian and Truger, Felix and Weder, Benjamin}, Year = 2023, Month = sep, Journal = {Quantum Science and Technology}, Publisher = {IOP Publishing}, articleno = {045022}, Volume = {8}, Number = {4}, Doi = {10.1088/2058-9565/acf59c}, url = {https://iopscience.iop.org/article/10.1088/2058-9565/acf59c}, projects = {PlanQK,EniQmA,SeQuenC} }
Workshopbeiträge
- Mandl, Alexander; Barzen, Johanna; Bechtold, Marvin; Keckeisen, Michael; Leymann, Frank; Vaudrevange, Patrick K. S.: Linear Structure of Training Samples in Quantum Neural Network Applications. In: Service-Oriented Computing – ICSOC 2023 Workshops, Springer, 2024.
BibTeX
@inproceedings{Mandl2024_LinearStructureQnnSamples, Title = {{Linear Structure of Training Samples in Quantum Neural Network Applications}}, Author = {Mandl, Alexander and Barzen, Johanna and Bechtold, Marvin and Keckeisen, Michael and Leymann, Frank and Vaudrevange, Patrick K. S.}, Year = 2024, Month = mar, Booktitle = {Service-Oriented Computing -- ICSOC 2023 Workshops}, Publisher = {Springer}, Pages = {150--161}, Doi = {10.1007/978-981-97-0989-2_12}, url = {https://link.springer.com/chapter/10.1007/978-981-97-0989-2_12}, type = {Workshop}, projects = {PlanQK,EniQmA,SeQuenC} }
- Mandl, Alexander; Egly, Uwe: Implementations for Shor’s algorithm for the DLP. In: GI Quantum Computing Workshop, INFORMATIK 2022, Gesellschaft für Informatik, Bonn, 2022.
BibTeX
@inproceedings{Mandl2022_ImplementationShorDlp, Title = {{Implementations for Shor's algorithm for the DLP}}, Author = {Mandl, Alexander and Egly, Uwe}, Year = 2022, Month = sep, Booktitle = {GI Quantum Computing Workshop, INFORMATIK 2022}, Publisher = {Gesellschaft f{\"u}r Informatik, Bonn}, Pages = {1133--1143}, Doi = {10.18420/inf2022_96}, isbn = {978-3-88579-720-3}, issn = {1617-5468}, url = {https://dl.gi.de/items/a0b0199d-2a35-4dee-820f-d52f505ac52b}, type = {Workshop} }
Preprints
- Bechtold, Marvin; Barzen, Johanna; Leymann, Frank; Mandl, Alexander: Cutting a Wire with Non-Maximally Entangled States., arXiv:2403.09690, 2024. pdf,
BibTeX
@article{Bechtold2024_WireCutEntanglement_preprint, Title = {{Cutting a Wire with Non-Maximally Entangled States}}, Author = {Bechtold, Marvin and Barzen, Johanna and Leymann, Frank and Mandl, Alexander}, Year = 2024, Month = feb, archiveprefix = {arXiv}, eprint = {2403.09690}, projects = {EniQmA,SeQuenC} }
- Mandl, Alexander; Barzen, Johanna; Leymann, Frank; Vietz, Daniel: On Reducing the Amount of Samples Required for Training of QNNs: Constraints on the Linear Structure of the Training Data., arXiv:2309.13711, 2023. pdf,
BibTeX
@article{Mandl2023_ReducingQNNSamples_preprint, Title = {{On Reducing the Amount of Samples Required for Training of QNNs: Constraints on the Linear Structure of the Training Data}}, Author = {Mandl, Alexander and Barzen, Johanna and Leymann, Frank and Vietz, Daniel}, Year = 2023, Month = sep, archiveprefix = {arXiv}, eprint = {2309.13711}, projects = {PlanQK,EniQmA} }
- Bechtold, Marvin; Barzen, Johanna; Leymann, Frank; Mandl, Alexander: Circuit Cutting with Non-Maximally Entangled States., arXiv:2306.12084, 2023. pdf,
BibTeX
@article{Bechtold2023_CircuitCuttingEntanglement_preprint, Title = {{Circuit Cutting with Non-Maximally Entangled States}}, Author = {Bechtold, Marvin and Barzen, Johanna and Leymann, Frank and Mandl, Alexander}, Year = 2023, Month = jun, archiveprefix = {arXiv}, eprint = {2306.12084}, projects = {PlanQK,EniQmA} }
- Truger, Felix; Barzen, Johanna; Bechtold, Marvin; Beisel, Martin; Leymann, Frank; Mandl, Alexander; Yussupov, Vladimir: Warm-Starting and Quantum Computing: A Systematic Mapping Study., arXiv:2303.06133, 2023. pdf,
BibTeX
@article{Truger2023_WarmStarting_preprint, Title = {{Warm-Starting and Quantum Computing: A Systematic Mapping Study}}, Author = {Truger, Felix and Barzen, Johanna and Bechtold, Marvin and Beisel, Martin and Leymann, Frank and Mandl, Alexander and Yussupov, Vladimir}, Year = 2023, Month = mar, archiveprefix = {arXiv}, eprint = {2303.06133}, projects = {PlanQK,SEQUOIA,EniQmA,SeQuenC} }
Abschlussarbeit
Mandl, Alexander: Quantum algorithms for the discrete logarithm problem, Diplomarbeit (2021)