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Seidl, Daniel (2022) Quantum-klassisches Machine Learning am Leibniz-Rechenzentrum. Bachelor's, Ludwig-Maximilians-Universität.
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| Item URL in elib: | https://elib.dlr.de/193654/ | ||||||||
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| Document Type: | Thesis (Bachelor's) | ||||||||
| Title: | Quantum-klassisches Machine Learning am Leibniz-Rechenzentrum | ||||||||
| Authors: |
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| Date: | 26 September 2022 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | Yes | ||||||||
| Number of Pages: | 68 | ||||||||
| Status: | Published | ||||||||
| Keywords: | Quantum Machine Learning, QML | ||||||||
| Institution: | Ludwig-Maximilians-Universität | ||||||||
| Department: | Institut für Informatik | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Space | ||||||||
| HGF - Program Themes: | Space System Technology | ||||||||
| DLR - Research area: | Raumfahrt | ||||||||
| DLR - Program: | R SY - Space System Technology | ||||||||
| DLR - Research theme (Project): | R - Quantum computing | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > EO Data Science | ||||||||
| Deposited By: | Rösel, Dr. Anja | ||||||||
| Deposited On: | 01 Feb 2023 13:15 | ||||||||
| Last Modified: | 02 Feb 2023 18:49 |
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