TY - JOUR
T1 - Industry quantum computing applications
AU - Quantum Technology and Application Consortium – QUTAC
AU - Bayerstadler, Andreas
AU - Becquin, Guillaume
AU - Binder, Julia
AU - Botter, Thierry
AU - Ehm, Hans
AU - Ehmer, Thomas
AU - Erdmann, Marvin
AU - Gaus, Norbert
AU - Harbach, Philipp
AU - Hess, Maximilian
AU - Klepsch, Johannes
AU - Leib, Martin
AU - Luber, Sebastian
AU - Luckow, Andre
AU - Mansky, Maximilian
AU - Mauerer, Wolfgang
AU - Neukart, Florian
AU - Niedermeier, Christoph
AU - Palackal, Lilly
AU - Pfeiffer, Ruben
AU - Polenz, Carsten
AU - Sepulveda, Johanna
AU - Sievers, Tammo
AU - Standen, Brian
AU - Streif, Michael
AU - Strohm, Thomas
AU - Utschig-Utschig, Clemens
AU - Volz, Daniel
AU - Weiss, Horst
AU - Winter, Fabian
N1 - Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12
Y1 - 2021/12
N2 - 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 advance 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.
AB - 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 advance 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.
KW - Benchmarks
KW - Industry application
KW - Quantum computing
KW - QUTAC
KW - Reference problems
UR - https://www.scopus.com/pages/publications/85119429452
U2 - 10.1140/epjqt/s40507-021-00114-x
DO - 10.1140/epjqt/s40507-021-00114-x
M3 - Article
AN - SCOPUS:85119429452
SN - 2196-0763
VL - 8
JO - EPJ Quantum Technology
JF - EPJ Quantum Technology
IS - 1
M1 - 25
ER -