Design and Validation of a Quantum Software Engineering Lifecycle Framework
Keywords:
Data Analytics, Quantum Software Engineering (QSE), Quantum Computing, Software Lifecycle, Quantum Programming Languages, Quantum Error Correction, Quantum Security and GovernanceAbstract
Quantum computing promises transformative computational capabilities; however, the absence of structured and standardized software engineering significantly limits its practical scalability. Quantum Software Engineering (QSE) remains fragmented, tool-centric, and largely experimental. This paper proposes a structured Quantum Software Engineering Lifecycle Framework that systematically integrates requirements engineering, hybrid design, quantum development, verification, deployment, and governance. To validate the proposed lifecycle, a two-stage evaluation was conducted. First, a Delphi-based expert validation involving 15 domain experts assessed clarity, feasibility, scalability, and hybrid applicability. Second, a simulation-based comparative analysis using Qiskit and PennyLane evaluated the lifecycle against ad-hoc development workflows across variational and search-based quantum algorithms. Results demonstrate a 24% reduction in development time, 15–18% improvement in execution fidelity, and significant gains in modularity, reusability, and tool interoperability. These findings confirm that adopting a structured lifecycle enables more reliable, scalable, and sustainable quantum software development, positioning QSE as a mature engineering discipline rather than purely experimental practice.
References
T. Y. Shaukat Ali, “When software engineering meets quantum computing,” Commun. ACM, vol. 65, no. 4, pp. 84–88, 2022, [Online]. Available: https://dl.acm.org/doi/10.1145/3512340
M. A. Serrano, R. Pérez-Castillo, and M. Piattini, “Quantum Software Engineering,” Quantum Softw. Eng., pp. 1–302, Oct. 2022, doi: 10.1007/978-3-031-05324-5/COVER.
J. G.-A. Juan Manuel Murillo, “Quantum Software Engineering: Roadmap and Challenges Ahead,” ACM Trans. Softw. Eng. Methodol., vol. 34, no. 5, 2025, [Online]. Available: https://dl.acm.org/doi/10.1145/3712002
A. K. Mandal, M. Nadim, C. K. Roy, B. Roy, and K. A. Schneider, “Quantum software engineering and potential of quantum computing in software engineering research: a review,” Autom. Softw. Eng. 2025 321, vol. 32, no. 1, pp. 27-, Mar. 2025, doi: 10.1007/S10515-025-00493-W.
A. A. K. Muhammad Azeem Akbar, “A systematic decision-making framework for tackling quantum software engineering challenges,” Autom. Softw. Eng., vol. 30, 2023, [Online]. Available: https://link.springer.com/article/10.1007/s10515-023-00389-7
J. Zhao, “Quantum Software Engineering: Landscapes and Horizons,” arXiv:2007.07047, 2020, [Online]. Available: https://arxiv.org/abs/2007.07047
D. D. N. Manuel De Stefano, Fabiano Pecorelli, Fabio Palomba, Davide Taibi, “Quantum Software Engineering Issues and Challenges: Insights from Practitioners,” Quantum Softw., pp. 337–355, 2024, [Online]. Available: https://link.springer.com/chapter/10.1007/978-3-031-64136-7_13
M. Piattini, M. Serrano, R. Perez-Castillo, G. Petersen, and J. L. Hevia, “Toward a Quantum Software Engineering,” IT Prof., vol. 23, no. 1, pp. 62–66, Jan. 2021, doi: 10.1109/MITP.2020.3019522.
P. W. Shor, “Algorithms for quantum computation: Discrete logarithms and factoring,” Proc. - Annu. IEEE Symp. Found. Comput. Sci. FOCS, pp. 124–134, 1994, doi: 10.1109/SFCS.1994.365700.
P. W. Shor, “Quantum Computing,” Doc. Math. J. DMV, 1998, [Online]. Available: https://www2.math.upenn.edu/~ted/210S14/References/Shor.MAN.pdf
P. W. Shor, “Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer,” SIAM J. Comput., vol. 26, no. 5, pp. 1484–1509, Aug. 1995, doi: 10.1137/S0097539795293172.
L. K. Grover, “A fast quantum mechanical algorithm for database search,” Proc. Annu. ACM Symp. Theory Comput., 1996, [Online]. Available: https://dl.acm.org/doi/10.1145/237814.237866
L. K. Grover, “A different kind of quantum search,” arXiv:quant-ph/0503205, 2005, [Online]. Available: https://arxiv.org/abs/quant-ph/0503205
Lov K. Grover, Apoorva D. Patel, “Quantum Search,” Encycl. Algorithm, 2015, [Online]. Available: https://chep.iisc.ac.in/Personnel/adpatel/QS_review.pdf
S. G. Subrata Das, Avimita Chatterjee, “A First Order Survey of Quantum Supply Dynamics and Threat Landscapes,” Quantum Phys., 2023, [Online]. Available: https://arxiv.org/abs/2308.09772
Francesco Tacchino, “Digital quantum simulations and machine learning on near-term quantum processors,” UNITED, 2020, [Online]. Available: https://tesidottorato.depositolegale.it/handle/20.500.14242/84523
M. S. C. R. Garrelt J. N. Alberts, M. Adriaan Rol, Thorsten Last, Benno W. Broer, Cornelis C. Bultink, “Accelerating quantum computer developments,” EPJ Quantum Technol., 2021, [Online]. Available: https://link.springer.com/article/10.1140/epjqt/s40507-021-00107-w
T. Ehmer, G. Karemore, and H. Melo, “The Quantum Computing Paradigm,” Comput. Drug Discov. Methods Appl. Vol. 1-2, pp. 627–678, Jan. 2024, doi: 10.1002/9783527840748.CH26;
D. P. Jake Zappin, Trevor Stalnaker, Oscar Chaparro, “When Quantum Meets Classical: Characterizing Hybrid Quantum-Classical Issues Discussed in Developer Forums,” arXiv:2411.16884, 2024, [Online]. Available: https://arxiv.org/abs/2411.16884
A. I. Saiyed, “Hybrid Quantum-Classical Cryptographic Protocols: Enhancing Security in the Era of Quantum Supremacy,” Spectr. Res., vol. 5, no. 1, Jan. 2025, Accessed: Jan. 09, 2026. [Online]. Available: http://spectrumofresearch.com/index.php/sr/article/view/12
J. A. C.-L. Manuel A. Serrano, “Quantum Software Components and Platforms: Overview and Quality Assessment,” ACM Comput. Surv., vol. 55, no. 8, 2022, [Online]. Available: https://dl.acm.org/doi/10.1145/3548679
T. B. Mark Fingerhuth, “Open source software in quantum computing,” PLoS One, 2018, [Online]. Available: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0208561
“SheQuantum QSESC Whitepaper: Universalization of Quantum Software Engineering – SheQuantum.” Accessed: Jan. 09, 2026. [Online]. Available: https://shequantum.org/2024/12/15/shequantum-qsesc-whitepaper-universalization-of-quantum-software-engineering/
M. P. Antonio García de la Barrera, Ignacio García-Rodríguez de Guzmán, Macario Polo, “Quantum software testing: State of the art,” J. Softw. Evol. Process, 2023, [Online]. Available: https://onlinelibrary.wiley.com/doi/10.1002/smr.2419
D. P. Jake Zappin, Trevor Stalnaker, Oscar Chaparro, “Challenges and Practices in Quantum Software Testing and Debugging: Insights from Practitioners,” ACM Ref. Format, 2025, [Online]. Available: https://arxiv.org/abs/2506.17306
D. Gottesman, “An Introduction to Quantum Error Correction and Fault-Tolerant Quantum Computation,” arXiv:0904.2557, 2009, [Online]. Available: https://arxiv.org/abs/0904.2557
T. K. Njoku, “Quantum Software Engineering: Algorithm Design, Error Mitigation, and Compiler Optimization for Fault-Tolerant Quantum Computing,” Int. J. Comput. Appl. Technol. Res., vol. 14, no. 4, pp. 30–42, 2025, [Online]. Available: https://www.researchgate.net/publication/389978011_Quantum_Software_Engineering_Algorithm_Design_Error_Mitigation_and_Compiler_Optimization_for_Fault-Tolerant_Quantum_Computing
P. Z. Marco Lewis, Sadegh Soudjani, “Formal Verification of Quantum Programs: Theory, Tools and Challenges,” arXiv:2110.01320, 2022, [Online]. Available: https://arxiv.org/abs/2110.01320
A. C. Samuel Sepúlveda, “Systematic Review on Requirements Engineering in Quantum Computing: Insights and Future Directions,” Electronics, vol. 13, no. 15, p. 2989, 2024, [Online]. Available: https://www.mdpi.com/2079-9292/13/15/2989
“Professional Issues in Software Engineering - 3rd Edition - Frank Bott.” Accessed: Jan. 09, 2026. [Online]. Available: https://www.routledge.com/Professional-Issues-in-Software-Engineering/Bott-Coleman-Eaton-Rowland/p/book/9780748409518
M. J. H. Faruk, S. Tahora, M. Tasnim, H. Shahriar, and N. Sakib, “A Review of Quantum Cybersecurity: Threats, Risks and Opportunities,” 2022 1st Int. Conf. AI Cybersecurity, ICAIC 2022, 2022, doi: 10.1109/ICAIC53980.2022.9896970.
Ludovica Ilari(PalermoU.), “Navigating Ethical Challenges in Cybersecurity: From Risk Assessment to Quantum-AI Applications,” Thesis PhD Univ. degli Stud. di Macerata, 2025, [Online]. Available: https://inspirehep.net/literature/2959489
R. K. B. Anisha Kumari, “Quantum Cloud Computing: Key Technologies, Challenges, and Opportunities,” Adv. Quantum Inspired Artif. Intell., 2025, [Online]. Available: https://link.springer.com/chapter/10.1007/978-3-031-89905-8_6
A. G. Yaser Baseri, Vikas Chouhan, “Cybersecurity in the Quantum Era: Assessing the Impact of Quantum Computing on Infrastructure,” arXiv:2404.10659, 2024, [Online]. Available: https://arxiv.org/abs/2404.10659
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 50SEA

This work is licensed under a Creative Commons Attribution 4.0 International License.


















