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  4. What can we expect from Quantum (Digital) Twins?
 
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February 17, 2022
Conference Paper
Title

What can we expect from Quantum (Digital) Twins?

Abstract
Digital twins enable the modeling and simulation of real-world entities (objects, processes or systems), resulting in improvements in the associated value chains. The emerging field of quantum computing holds tremendous promise for evolving this virtualization towards Quantum (Digital) Twins (QDT) and ultimately Quantum Twins (QT). The quantum (digital) twin concept is not a contradiction in terms - but instead describes a hybrid approach that can be implemented using the technologies available today by combining classical computing and digital twin concepts with quantum processing. This paper presents the status quo of research and practice on quantum (digital) twins. It also discuses their potential to create competitive advantage through real-time simulation of highly complex, interconnected entities that helps companies better address changes in their environment and differentiate their products and services.
Author(s)
Amir, Malik
École Polytechnique Fédérale de Lausanne
Bauckhage, Christian  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Chircu, Alina
Bentley University
Czarnecki, Christian
FH Aachen University of Applied Sciences
Knopf, Christian
Capgemini Deutschland GmbH
Piatkowski, Nico  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Sultanow, Eldar
Capgemini Deutschland GmbH
Mainwork
WI 2022, 17th International Conference on Wirtschaftsinformatik  
Conference
International Conference on Wirtschaftsinformatik (WI) 2022  
Link
Link
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • Artificial Intelligence

  • Digital Twin Evolution

  • Machine Learning

  • Quantum Computing

  • Quantum Machine Learning

  • Quantum Digital Twin

  • Quantum Twin

  • Simulation

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