Towards Quantum Requirements Engineering

Spoletini, Paola

doi:10.1109/rew57809.2023.00072

Cited by 3 publications

References 25 publications

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Quantum Software Ecosystem Design

Basermann,

Epping,

Fauseweh

et al. 2024

Quantum Software

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The rapid advancements in quantum computing necessitate a scientific and rigorous approach to the construction of a corresponding software ecosystem, a topic underexplored and primed for systematic investigation. This chapter takes an important step in this direction. It presents scientific considerations essential for building a quantum software ecosystem that makes quantum computing available for scientific and industrial problem-solving. Central to this discourse is the concept of hardware–software co-design, which fosters a bidirectional feedback loop from the application layer at the top of the software stack down to the hardware. This approach begins with compilers and low-level software that are specifically designed to align with the unique specifications and constraints of the quantum processor, proceeds with algorithms developed with a clear understanding of underlying hardware and computational model features, and extends to applications that effectively leverage the capabilities to achieve a quantum advantage. We analyze the ecosystem from two critical perspectives: the conceptual view, focusing on theoretical foundations, and the technical infrastructure, addressing practical implementations around real quantum devices necessary for a functional ecosystem. This approach ensures that the focus is toward promising applications with optimized algorithm–circuit synergy, while ensuring a user-friendly design, an effective data management, and an overall orchestration. This chapter thus offers a guide to the essential concepts and practical strategies necessary for developing a scientifically grounded quantum software ecosystem.

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Quantum Software Ecosystem Design

Basermann,

Epping,

Fauseweh

et al. 2024

Quantum Software

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Systematic Review on Requirements Engineering in Quantum Computing: Insights and Future Directions

Sepúlveda,

Cravero,

Fonseca

et al. 2024

Electronics

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Context: Quantum software development is a complex and intricate process that diverges significantly from traditional software development. Quantum computing and quantum software are deeply entangled with quantum mechanics, which introduces a different level of abstraction and a deep dependence on quantum physical properties. The classical requirements engineering methods must be adapted to encompass the essential quantum features in this new paradigm. Aim: This study aims to systematically identify and analyze challenges, opportunities, developments, and new lines of research in requirements engineering for quantum computing. Method: We conducted a systematic literature review, including three research questions. This study included 105 papers published from 2017 to 2024. Results: The main results include the identification of problems associated with defining specific requirements for quantum software and hybrid system requirements. In addition, we identified challenges related to the absence of standards for quantum requirements engineering. Finally, we can see the advances in developing programming languages and simulation tools for developing software in hybrid systems. Conclusions: This study presents the challenges and opportunities in quantum computing requirements engineering, emphasizing the need for new methodologies and tools. It proposes a roadmap for future research to develop a standardized framework, contributing to theoretical foundations and practical applications.

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Quantum Software Engineering: Best Practices from Classical to Quantum Approaches

Alsalman

2024

JQIS

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Towards Quantum Requirements Engineering

Cited by 3 publications

References 25 publications

Quantum Software Ecosystem Design

Quantum Software Ecosystem Design

Systematic Review on Requirements Engineering in Quantum Computing: Insights and Future Directions

Quantum Software Engineering: Best Practices from Classical to Quantum Approaches

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