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Quantum and quantum-inspired computing in civil engineering

Citation Link: https://doi.org/10.15480/882.16077
Publikationstyp
Journal Article
Date Issued
2025-10-15
Sprache
English
Author(s)
Ploennigs, Joern  
Smarsly, Kay  
Digitales und autonomes Bauen B-1  
Berger, Markus  
Dragos, Kosmas  
Digitales und autonomes Bauen B-1  
Kliesch, Martin  
Quantum Inspired and Quantum Optimization E-25  
TORE-DOI
10.15480/882.16077
TORE-URI
https://hdl.handle.net/11420/58449
Lizenz
https://creativecommons.org/licenses/by/4.0/
Journal
Advanced engineering informatics  
Volume
69
Issue
Part B
Article Number
103960
Citation
Advanced Engineering Informatics 69 (Part B): 103960 (2026)
Publisher DOI
10.1016/j.aei.2025.103960
Scopus ID
2-s2.0-105019785829
Publisher
Elesiver
Quantum computing is expected to offer solutions to computational problems that are otherwise computationally intractable. Although the core technology is still being developed, quantum-inspired computing already has been offering practical advantages for several computationally challenging problems. Despite the promising potential of both quantum computing and quantum-inspired computing, applications in civil engineering remain underexplored. This study aims to lay the foundation for future adoption by introducing the fundamental principles of quantum computing and quantum-inspired computing and by conducting a multivocal literature review. The review provides insights into the current research landscape in civil engineering and offers a detailed analysis of potential use cases and application areas. The findings are expected to serve as a foundation for guiding future research endeavors and practical deployments of quantum computing and quantum-inspired computing in civil engineering, as these technologies continue to mature.
Subjects
Civil engineering
Quantum computing
Quantum-inspired computing
Research directions
DDC Class
004: Computer Sciences
624: Civil Engineering, Environmental Engineering
Funding(s)
Dezentrale digitale Zwillinge für das Bauwerksmonitoring  
Publication version
publishedVersion
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1-s2.0-S1474034625008535-main.pdf

Type

Main Article

Size

1.61 MB

Format

Adobe PDF

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