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quark: QUantum Application Reformulation Kernel

dc.contributor.authorLobe, Elisabeth
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:19Z
dc.date.available2023-11-29T14:50:19Z
dc.date.issued2023
dc.description.abstractQuantum annealers solve Ising problems heuristically. Several standard methods have been established to transform more complex problems into the Ising problem format, which are commonly still applied by hand. In this work, we present our software package quark, automating the full transformation process from an arbitrary discrete optimization problem to the corresponding Ising problem. Based on a parameterized formulation of the original problem, a series of easily reproducible experiments can thus be set up. This allows users to evaluate the suitability of the annealing machines in solving their specific problem without a deeper knowledge about the Ising problem specifics.en
dc.identifier.doi10.18420/inf2023_123
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43045
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2023 - Designing Futures: Zukünfte gestalten
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-337
dc.subjectIsing Problem
dc.subjectQUBO
dc.subjectDiscrete Optimization
dc.subjectQuantum Annealing
dc.subjectQuantum Computing
dc.titlequark: QUantum Application Reformulation Kernelen
dc.typeText/Conference Paper
gi.citation.endPage1120
gi.citation.publisherPlaceBonn
gi.citation.startPage1115
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleGI Quantum Computing Workshop

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