%0 Book Section %1 Carbonelli2024 %A Carbonelli, Cecilia %A Felderer, Michael %A Jung, Matthias %A Lobe, Elisabeth %A Lochau, Malte %A Luber, Sebastian %A Mauerer, Wolfgang %A Ramler, Rudolf %A Schaefer, Ina %A Schroth, Christoph %B Quantum Software: Aspects of Theory and System Design %C Cham %D 2024 %E Exman, Iaakov %E Pérez-Castillo, Ricardo %E Piattini, Mario %E Felderer, Michael %I Springer Nature Switzerland %K myown %P 311--335 %R 10.1007/978-3-031-64136-7_12 %T Challenges for Quantum Software Engineering: An Industrial Application Scenario Perspective %U https://doi.org/10.1007/978-3-031-64136-7_12 %X Quantum software is becoming a key enabler for applying quantum computing to industrial use cases. This poses challenges to quantum software engineering in providing efficient and effective means to develop such software. Eventually, this must be reliably achieved in time, on budget, and in quality, using sound and well-principled engineering approaches. Given that quantum computers are based on fundamentally different principles than classical machines, this raises the question if, how, and to what extent established techniques for systematically engineering software need to be adapted. In this chapter, we analyze three paradigmatic application scenarios for quantum software engineering from an industrial perspective. The respective use cases center around (1) optimization and quantum cloud services, (2) quantum simulation, and (3) embedded quantum computing. Our aim is to provide a concise overview of the current and future applications of quantum computing in diverse industrial settings. We derive presumed challenges for quantum software engineering and thus provide research directions for this emerging field. %@ 978-3-031-64136-7

@inbook{Carbonelli2024, abstract = {Quantum software is becoming a key enabler for applying quantum computing to industrial use cases. This poses challenges to quantum software engineering in providing efficient and effective means to develop such software. Eventually, this must be reliably achieved in time, on budget, and in quality, using sound and well-principled engineering approaches. Given that quantum computers are based on fundamentally different principles than classical machines, this raises the question if, how, and to what extent established techniques for systematically engineering software need to be adapted. In this chapter, we analyze three paradigmatic application scenarios for quantum software engineering from an industrial perspective. The respective use cases center around (1) optimization and quantum cloud services, (2) quantum simulation, and (3) embedded quantum computing. Our aim is to provide a concise overview of the current and future applications of quantum computing in diverse industrial settings. We derive presumed challenges for quantum software engineering and thus provide research directions for this emerging field.}, added-at = {2024-08-29T23:20:35.000+0200}, address = {Cham}, author = {Carbonelli, Cecilia and Felderer, Michael and Jung, Matthias and Lobe, Elisabeth and Lochau, Malte and Luber, Sebastian and Mauerer, Wolfgang and Ramler, Rudolf and Schaefer, Ina and Schroth, Christoph}, biburl = {https://www.bibsonomy.org/bibtex/2c2cffb8ac0be3e0ccdc75e586a230569/myzinsky}, booktitle = {Quantum Software: Aspects of Theory and System Design}, doi = {10.1007/978-3-031-64136-7_12}, editor = {Exman, Iaakov and P{\'e}rez-Castillo, Ricardo and Piattini, Mario and Felderer, Michael}, interhash = {c2586618b4c8b524653c60775661074d}, intrahash = {c2cffb8ac0be3e0ccdc75e586a230569}, isbn = {978-3-031-64136-7}, keywords = {myown}, pages = {311--335}, publisher = {Springer Nature Switzerland}, timestamp = {2024-08-29T23:20:35.000+0200}, title = {Challenges for Quantum Software Engineering: An Industrial Application Scenario Perspective}, url = {https://doi.org/10.1007/978-3-031-64136-7_12}, year = 2024 }