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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
Title

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
Mainwork
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)  
Conference
Conference on Digital Curation Technologies (Qurator) 2021  
Open Access
File(s)
Download (1.83 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.24406/publica-fhg-410731
Language
English
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Keyword(s)
  • Ontology

  • Taxonomy

  • quantum computing

  • Quantum Algorithm

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