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Industry quantum computing applications

  • Quantum computing promises to overcome computational limitations with better and faster solutions for optimization, simulation, and machine learning problems. Europe and Germany are in the process of successfully establishing research and funding programs with the objective to dvance the technology’s ecosystem and industrialization, thereby ensuring digital sovereignty, security, and competitiveness. Such an ecosystem comprises hardware/software solution providers, system integrators, and users from research institutions, start-ups, and industry. The vision of the Quantum Technology and Application Consortium (QUTAC) is to establish and advance the quantum computing ecosystem, supporting the ambitious goals of the German government and various research programs. QUTAC is comprised of ten members representing different industries, in particular automotive manufacturing, chemical and pharmaceutical production, insurance, and technology. In this paper, we survey the current state of quantum computing in these sectors as well as the aerospace industry and identify the contributions of QUTAC to the ecosystem. We propose an application-centric approach for the industrialization of the technology based on proven business impact. This paper identifies 24 different use cases. By formalizing high-value use cases into well-described reference problems and benchmarks, we will guide technological progress and eventually commercialization. Our results will be beneficial to all ecosystem participants, including suppliers, system integrators, software developers, users, policymakers, funding program managers, and investors.

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Metadaten
Author:Andreas Bayerstadler, Guillaume Becquin, Julia Binder, Thierry Botter, Hans Ehm, Thomas Ehmer, Marvin Erdmann, Norbert Gaus, Philipp Harbach, Maximilian Hess, Johannes KlepschORCiD, Martin Leib, Sebastian Luber, Andre Luckow, Maximilian Mansky, Wolfgang MauererORCiDGND, Florian Neukart, Christoph Niedermeier, Lilly Palackal, Ruben Pfeiffer, Carsten Polenz, Johanna Sepulveda, Tammo Sievers, Brian Standen, Michael Streif, Thomas Strohm, Clemens Utschig-Utschig, Daniel Volz, Horst Weiss, Fabian Winter
DOI:https://doi.org/10.1140/epjqt/s40507-021-00114-x
Parent Title (English):EPJ Quantum Technology
Publisher:Springer
Document Type:Article
Language:English
Year of first Publication:2021
Creating Corporation:Springer
Release Date:2022/04/11
Tag:Benchmarks; Industry application; QUTAC; Quantum computing; Reference problems
Volume:8
Article Number:25
First Page:1
Last Page:17
Institutes:Fakultät Informatik und Mathematik
Fakultät Informatik und Mathematik / Labor für Digitalisierung (LFD)
Begutachtungsstatus:peer-reviewed
OpenAccess Publikationsweg:Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium
research focus:Digitalisierung
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International