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  4. An analysis of ontological entities to represent knowledge on quantum computing algorithms and implementations
 
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2021
Conference Paper
Titel

An analysis of ontological entities to represent knowledge on quantum computing algorithms and implementations

Abstract
The field of quantum computing is developing rapidly. As a result, a variety of quantum hardware, software development kits, and quantum algorithms have been developed in recent years. However, knowledge about these artifacts is either not available or spread among different sources. Thus, to analyze, compare, and evaluate knowledge on quantum computing an integrated knowledge base is required. In this paper, we introduce key concepts of an ontology for quantum algorithms and their implementations. The presented ontology serves as basis for a collaborative platform for researchers and practitioners to support collection and development of knowledge on the field of quantum computing.
Author(s)
Martyniuk, Darya
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS
Falkenthal, Michael
StoneOne AG, Berlin
Karam, Naouel
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS
Paschke, Adrian
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS
Wild, Karoline
University of Stuttgart
Hauptwerk
Qurator 2021, Conference on Digital Curation Technologies. Online resource
Project(s)
PlanQK
PlanQK
Funder
Bundesministerium für Wirtschaft und Energie BMWi (Deutschland)
Bundesministerium für Wirtschaft und Energie BMWi (Deutschland)
Konferenz
Conference on Digital Curation Technologies (Qurator) 2021
DOI
10.24406/publica-fhg-410731
File(s)
N-633907.pdf (1.83 MB)
Language
English
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Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS
Tags
  • Ontology

  • Taxonomy

  • quantum computing

  • Quantum Algorithm

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