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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/corr/abs-2305-00224>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Axel_Plinge>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Christian_Ufrecht>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Christopher_Mutschler>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Daniel_D._Scherer>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Maniraman_Periyasamy>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Marc_H%E2%88%9A%E2%88%82lle>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Marco_Wiedmann>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Nico_Meyer>
foaf:homepage <http://dx.doi.org/doi.org%2F10.48550%2FarXiv.2305.00224>
foaf:homepage <https://doi.org/10.48550/arXiv.2305.00224>
dc:identifier DBLP journals/corr/abs-2305-00224 (xsd:string)
dc:identifier DOI doi.org%2F10.48550%2FarXiv.2305.00224 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/corr>
rdfs:label An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Axel_Plinge>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Christian_Ufrecht>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Christopher_Mutschler>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Daniel_D._Scherer>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Maniraman_Periyasamy>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Marc_H%E2%88%9A%E2%88%82lle>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Marco_Wiedmann>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Nico_Meyer>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/corr/abs-2305-00224/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/corr/abs-2305-00224>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/corr/corr2305.html#abs-2305-00224>
rdfs:seeAlso <https://doi.org/10.48550/arXiv.2305.00224>
dc:title An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume abs/2305.00224 (xsd:string)