TY - CHAP A1 - Krüger, Tom A1 - Mauerer, Wolfgang T1 - Quantum Annealing-Based Software Components T2 - Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops (ICSE'20): Seoul Republic of Korea 27.06.2020 - 19.07.2020 N2 - Quantum computers have the potential of solving problems more efficiently than classical computers. While first commercial prototypes have become available, the performance of such machines in practical application is still subject to exploration. Quantum computers will not entirely replace classical machines, but serve as accelerators for specific problems. This necessitates integrating quantum computational primitives into existing applications. In this paper, we perform a case study on how to augment existing software with quantum computational primitives for the Boolean satisfiability problem (SAT) implemented using a quantum annealer (QA). We discuss relevant quality measures for quantum components, and show that mathematically equivalent, but structurally different ways of transforming SAT to a QA can lead to substantial differences regarding these qualities. We argue that engineers need to be aware that (and which) details, although they may be less relevant in traditional software engineering, require considerable attention in quantum computing. KW - Boolean Satisfiability KW - Experimental Performance Analysis KW - Quantum Annealin KW - Quantum computing Y1 - 2020 SN - 9781450379632 U6 - https://doi.org/10.1145/3387940.3391472 SP - 445 EP - 450 PB - Association for Computing Machinery CY - New York, NY ER - TY - JOUR A1 - Bayerstadler, Andreas A1 - Becquin, Guillaume A1 - Binder, Julia A1 - Botter, Thierry A1 - Ehm, Hans A1 - Ehmer, Thomas A1 - Erdmann, Marvin A1 - Gaus, Norbert A1 - Harbach, Philipp A1 - Hess, Maximilian A1 - Klepsch, Johannes A1 - Leib, Martin A1 - Luber, Sebastian A1 - Luckow, Andre A1 - Mansky, Maximilian A1 - Mauerer, Wolfgang A1 - Neukart, Florian A1 - Niedermeier, Christoph A1 - Palackal, Lilly A1 - Pfeiffer, Ruben A1 - Polenz, Carsten A1 - Sepulveda, Johanna A1 - Sievers, Tammo A1 - Standen, Brian A1 - Streif, Michael A1 - Strohm, Thomas A1 - Utschig-Utschig, Clemens A1 - Volz, Daniel A1 - Weiss, Horst A1 - Winter, Fabian T1 - Industry quantum computing applications JF - EPJ Quantum Technology 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 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. KW - Benchmarks KW - Industry application KW - Quantum computing KW - QUTAC KW - Reference problems Y1 - 2021 U6 - https://doi.org/10.1140/epjqt/s40507-021-00114-x VL - 8 SP - 1 EP - 17 PB - Springer ER -