J.Murillo, J. García-Alonso, E. Moguel, J. Barzen, F. Leymann, S. Ali, T. Yue, P. Arcaini, R.Pérez-Castillo, I. García Rodríguez de Guzmán, M. Piattini, A. Ruiz-Cortés, A. Brogi, J. Zhao, A. Miranskyy, M. Wimmer: Quantum Software Engineering: Roadmap and Challenges Ahead, Jounal ACM Transactions on Software Engineering and Methodology, Volume 34, Issue 5, Article No. 154, Pages 1 - 48, May 27, 2025. Doi: 10.1145/3712002
As quantum computers advance, the complexity of the software they can execute increases as well. To ensure this software is efficient, maintainable, reusable, and cost-effective-key qualities of any industry-grade software-mature software engineering practices must be applied throughout its design, development, and operation. However, the significant differences between classical and quantum software make it challenging to directly apply classical software engineering methods to quantum systems. This challenge has led to the emergence of Quantum Software Engineering (QSE) as a distinct field within the broader software engineering landscape. In this work, a group of active researchers analyze in depth the current state of QSE research. From this analysis, the key areas of QSE are identified and explored in order to determine the most relevant open challenges that should be addressed in the next years. These challenges help identify necessary breakthroughs and future research directions for advancing QSE.