Quantum Computing Enhanced Service Ecosystem for Simulation in Manufacturing
Abstract
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 analyse two high-value use cases with the aim of a quantitative evaluation of these new computing paradigms for industrially-relevant settings.
Cite
@article{arxiv.2401.10623,
title = {Quantum Computing Enhanced Service Ecosystem for Simulation in Manufacturing},
author = {Wolfgang Maass and Ankit Agrawal and Alessandro Ciani and Sven Danz and Alejandro Delgadillo and Philipp Ganser and Pascal Kienast and Marco Kulig and Valentina König and Nil Rodellas-Gràcia and Rivan Rughubar and Stefan Schröder and Marc Stautner and Hannah Stein and Tobias Stollenwerk and Daniel Zeuch and Frank K. Wilhelm},
journal= {arXiv preprint arXiv:2401.10623},
year = {2024}
}
Comments
11 pages, 3 figures. Accepted version