Advancing Quantum Software Engineering: A Vision of Hybrid Full-Stack Iterative Model

TL;DR

This paper proposes a comprehensive hybrid full-stack iterative model for quantum software development, integrating quantum and classical computing to improve accessibility, efficiency, and address current challenges in Quantum Software Engineering.

Contribution

It introduces a novel structured lifecycle model rooted in DevOps principles, facilitating quantum software development without requiring deep quantum computing expertise.

Findings

Provides a detailed implementation roadmap using existing tools

Addresses integration challenges in quantum-classical systems

Enhances accessibility and efficiency in quantum software engineering

Abstract

This paper introduces a vision for Quantum Software Development lifecycle, proposing a hybrid full-stack iterative model that integrates quantum and classical computing. Addressing the current challenges in Quantum Computing (QC) such as the need for integrating diverse programming languages and managing the complexities of quantum-classical systems, this model is rooted in the principles of DevOps and continuous software engineering. It presents a comprehensive lifecycle for quantum software development, encompassing quantum-agnostic coding, testing, deployment, cloud computing services, orchestration, translation, execution, and interpretation phases. Each phase is designed to accommodate the unique demands of QC, enabling traditional software developers to engage with QC environments without needing in-depth QC expertise. The paper presents a detailed implementation roadmap, utilizing a range of existing tools and frameworks, thereby making quantum software development more accessible and efficient. The proposed model not only addresses current challenges in quantum software development but also makes a substantial contribution to the field of Quantum Software Engineering (QSE). By proposing a structured and accessible model, it sets the stage for further advancements and research in QSE, enhancing its practicality and relevance in a wide range of applications.