QLindA: Quantum Reinforcement Learning für industrielle Anwendungen
| dc.contributor.author | Hauptmann, Werner | |
| dc.contributor.author | Hein, Daniel | |
| dc.contributor.author | Sun, Yize | |
| dc.contributor.author | Udluft, Steffen | |
| dc.date.accessioned | 2026-03-12T18:37:59Z | |
| dc.date.available | 2026-03-12T18:37:59Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Datei-Upload durch TIB | ger |
| dc.description.version | publishedVersion | |
| dc.identifier.uri | https://oa.tib.eu/renate/handle/123456789/32527 | |
| dc.identifier.uri | https://doi.org/10.34657/31596 | |
| dc.language.iso | ger | |
| dc.publisher | Hannover : Technische Informationsbibliothek | |
| dc.relation.affiliation | Siemens AG | |
| dc.rights.license | Creative Commons Attribution-NonDerivs 3.0 Germany | |
| dc.subject.ddc | 000 | Informatik, Information und Wissen, allgemeine Werke | |
| dc.title | QLindA: Quantum Reinforcement Learning für industrielle Anwendungen | ger |
| dc.title.subtitle | Abschlussbericht | |
| dc.type | Report | |
| dcterms.event.date | 01.04.2021-30.09.2024 | |
| dcterms.extent | 31 Seiten | |
| dtf.funding.funder | BMFTR | |
| dtf.funding.program | 13N15644 | |
| dtf.funding.verbundnummer | 01230981 | |
| tib.accessRights | openAccess |
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