Software architecture for quantum computing systems — A systematic review

Article

Khan, Arif, Ahmad, Aakash, Waseem, Muhammad, Liang, Peng, Fahmideh, Mahdi, Mikkonen, Tommi and Abrahamsson, Pekka. 2023. "Software architecture for quantum computing systems — A systematic review." Journal of Systems and Software. 201. https://doi.org/10.1016/j.jss.2023.111682
Article Title

Software architecture for quantum computing systems — A systematic review

ERA Journal ID18045
Article CategoryArticle
AuthorsKhan, Arif, Ahmad, Aakash, Waseem, Muhammad, Liang, Peng, Fahmideh, Mahdi, Mikkonen, Tommi and Abrahamsson, Pekka
Journal TitleJournal of Systems and Software
Journal Citation201
Article Number111682
Number of Pages29
Year2023
PublisherElsevier
Place of PublicationUnited States
ISSN0164-1212
1873-1228
Digital Object Identifier (DOI)https://doi.org/10.1016/j.jss.2023.111682
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S0164121223000778
AbstractQuantum computing systems rely on the principles of quantum mechanics to perform a multitude of computationally challenging tasks more efficiently than their classical counterparts. The architecture of software-intensive systems can empower architects who can leverage architecture-centric processes, practices, description languages to model, develop, and evolve quantum computing software (quantum software for short) at higher abstraction levels. We conducted a Systematic Literature Review (SLR) to investigate (i) architectural process, (ii) modelling notations, (iii) architecture design patterns, (iv) tool support, and (iv) challenging factors for quantum software architecture. Results of the SLR indicate that quantum software represents a new genre of software-intensive systems; however, existing processes and notations can be tailored to derive the architecting activities and develop modelling languages for quantum software. Quantum bits (Qubits) mapped to Quantum gates (Qugates) can be represented as architectural components and connectors that implement quantum software. Tool-chains can incorporate reusable knowledge and human roles (e.g., quantum domain engineers, quantum code developers) to automate and customise the architectural process. Results of this SLR can facilitate researchers and practitioners to develop new hypotheses to be tested, derive reference architectures, and leverage architecture-centric principles and practices to engineer emerging and next generations of quantum software. © 2023 The Authors
KeywordsQuantum computing
ANZSRC Field of Research 2020460905. Information systems development methodologies and practice
Byline AffiliationsUniversity of Oulu, Finland
Lancaster University, United Kingdom
Wuhan University, China
School of Business
Tampere University, Finland
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