Ruepp, Daniel
(2025)
Quantum Machine Learning Algorithms for Mobility Problems.
Bachelor's, Universität Ulm.
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| Item URL in elib: | https://elib.dlr.de/218184/ |
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| Document Type: | Thesis (Bachelor's) |
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| Title: | Quantum Machine Learning Algorithms for Mobility Problems |
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| Authors: | | Authors | Institution or Email of Authors | Author's ORCID iD | ORCID Put Code |
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| Ruepp, Daniel | Universität Ulm | UNSPECIFIED | UNSPECIFIED |
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| DLR Supervisors: | | Contribution | DLR Supervisor | Institution or E-Mail | DLR Supervisor's ORCID iD |
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| Thesis advisor | Wölk, Sabine Esther | UNSPECIFIED | UNSPECIFIED | | Thesis advisor | Schindler, Marcel | UNSPECIFIED | UNSPECIFIED |
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| Date: | 2025 |
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| Open Access: | No |
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| Number of Pages: | 33 |
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| Status: | Published |
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| Keywords: | reinforcement learning
Grover search
route planning |
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| Institution: | Universität Ulm |
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| HGF - Research field: | other |
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| HGF - Program: | other |
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| HGF - Program Themes: | other |
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| DLR - Research area: | Quantum Computing Initiative |
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| DLR - Program: | QC AW - Applications |
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| DLR - Research theme (Project): | QC - QCMobility |
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Location: |
Ulm
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| Institutes and Institutions: | Institute of Quantum Technologies > Quantum Information and Communication |
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| Deposited By: |
Wölk, Sabine Esther
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| Deposited On: | 10 Nov 2025 18:51 |
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| Last Modified: | 10 Nov 2025 18:51 |
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