TY  - JOUR
AU  - Maass, Wolfgang
AU  - Agrawal, Ankit
AU  - Ciani, Alessandro
AU  - Danz, Sven
AU  - Delgadillo, Alejandro
AU  - Ganser, Philipp
AU  - Kienast, Pascal
AU  - Kulig, Marco
AU  - König, Valentina
AU  - Rodellas-Gràcia, Nil
AU  - Rughubar, Rivan
AU  - Schröder, Stefan
AU  - Stautner, Marc
AU  - Stein, Hannah
AU  - Stollenwerk, Tobias
AU  - Zeuch, Daniel
AU  - Wilhelm-Mauch, Frank
TI  - QUASIM: Quantum Computing Enhanced Service Ecosystem for Simulation in Manufacturing
JO  - Künstliche Intelligenz
VL  - 38
IS  - 4
SN  - 0933-1875
CY  - Berlin
PB  - Springer
M1  - FZJ-2025-02069
SP  - 361 - 370
PY  - 2024
AB  - Quantum computing (QC) and machine learning (ML), taken individually or combined into quantum-assisted ML (QML), are ascending computing paradigms whose calculations come with huge potential for speedup, increase in precision, and resource reductions. Likely improvements for numerical simulations in engineering imply the possibility of a strong economic impact on the manufacturing industry. In this project report, we propose a framework for a quantum computing-enhanced service ecosystem for simulation in manufacturing, consisting of various layers ranging from hardware to algorithms to service and organizational layers. In addition, we give insight into the current state of the art of applications research based on QC and QML, both from a scientific and an industrial point of view. We further analyze two high-value use cases with the aim of a quantitative evaluation of these new computing paradigms for industrially relevant settings.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:001344982800001
DO  - DOI:10.1007/s13218-024-00860-x
UR  - https://juser.fz-juelich.de/record/1040947
ER  -