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International Conference on Complex Systems, Intelligent Science and Computing Technology (CSITec)

From Theory to Practice: An Analysis of Quantum Software Applications

Lingyi Zhou, Sen Huang, Xuezhong Wu

Published Mar 1, 2026• 0 citations
Publisher
DOI
10.23919/csiteccps00081.2026.00050

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•Nov 15, 2023•0 citations
Quantum software engineering is an emerging genre of software engineering that exploit principles of quantum bits (Qubit) and quantum gates (Qgates) to solve complex computing problems effeciently than their classical counterparts. According to its proponents, agile software development practices have the potential to address many of the problems endemic to the development of quantum software. However, there is a dearth of evidence investigating whether agile practices are suitable for, and can be adopted by, software teams in the context of quantum software development. To address this lack, we conducted an empirical study to investigate the needs and challenges of using agile practices to develop quantum software. While our semi-structured interviews with 26 practitioners across 10 countries highlighted the applicability of agile practices in this domain, the interview findings also revealed new challenges impeding the effective incorporation of these practices. Our research findings provide a springboard for further contextualization and seamless integration of agile practices in quantum software engineering (QSE) to develop emerging and next generation of quantum software systems and application.
Quantum computing offers a new paradigm for advancing high-energy physics research by enabling novel methods for representing and reasoning about fundamental quantum mechanical phenomena.Realizing these ideals will require the development of novel computational tools for modeling and simulation, detection and classification, data analysis, and forecasting of high-energy physics (HEP) experiments.While the emerging hardware, software, and applications of quantum computing are exciting opportunities, significant gaps remain in integrating such techniques into the HEP community research programs.Here we identify both the challenges and opportunities for developing quantum computing systems and software to advance HEP discovery science.We describe opportunities for the focused development of algorithms, applications, software, hardware, and infrastructure to support both practical and theoretical applications of quantum computing to HEP problems within the next 10 years.