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What can we expect from quantum (digital) twins?
- 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.
Verfasserangaben: | Malik Amir, Christian Bauckhage, Alina Chircu, Christian Czarnecki, Christian Knopf, Nico Piatkowski, Eldar Sultanow |
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Verlag: | AIS Electronic Library (AISeL) |
Dokumentart: | Konferenzveröffentlichung |
Sprache: | Englisch |
Erscheinungsjahr: | 2022 |
Datum der Publikation (Server): | 28.10.2022 |
Freies Schlagwort / Tag: | Artificial Intelligence; Digital Twin Evolution; Machine Learning; Quantum Computing; Quantum Machine Learning |
Erste Seite: | 1 |
Letzte Seite: | 14 |
Bemerkung: | 17. Internationale Tagung Wirtschaftsinformatik, 21. – 23. Februar 2022, Nürnberg (online) |
Link: | https://aisel.aisnet.org/wi2022/workshops/workshops/15/ |
Zugriffsart: | Campus |
Fachbereiche und Einrichtungen: | FH Aachen / Fachbereich Elektrotechnik und Informationstechnik |