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

Core Concepts
Proposing a hybrid full-stack iterative model for quantum software development to address challenges and enhance accessibility.
The paper introduces a vision for Quantum Software Development lifecycle, integrating quantum and classical computing. It aims to address challenges in Quantum Computing by proposing a comprehensive lifecycle for quantum software development. The model enables traditional developers to engage with QC environments without deep expertise. By utilizing DevOps principles, the model offers a structured approach from coding to interpretation phases. The proposed roadmap includes tools like Qiskit, Jenkins, IBM Cloud, Kubernetes, and Python SciPy for implementation. This vision sets the stage for advancements in Quantum Software Engineering.
Technology giants invest hundreds of millions in quantum hardware and software solutions. Hybrid quantum applications require life cycles catering to both quantum and classical aspects. Various research studies investigate challenges in quantum software development processes.
"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." "By outlining a comprehensive lifecycle that encompasses quantum-agnostic coding, orchestrated deployment, and specialized translation to execution and interpretation phases, the model paves the way for developers to engage with quantum computing more effectively." "This approach not only facilitates the practical realization of quantum software engineering but also sets a foundation for future advancements in this rapidly evolving field."

Key Insights Distilled From

by Arif... at 03-19-2024
Advancing Quantum Software Engineering

Deeper Inquiries

How can organizations effectively transition from classical to quantum software engineering?

Organizations can effectively transition from classical to quantum software engineering by following a structured readiness model. This model should outline core process areas, challenges, and enablers in quantum software engineering. It should provide a roadmap for organizations, highlighting best practices and key factors for a successful shift to quantum computing. Additionally, organizations need to invest in training their developers in quantum programming frameworks like Qiskit, Cirq, or Microsoft Quantum Development Kit. By ensuring cross-disciplinary training and adopting Agile methodologies, organizations can facilitate a smooth transition towards incorporating quantum software development into their existing processes.

What are some potential drawbacks or limitations of integrating classical and quantum computing paradigms?

One potential drawback of integrating classical and quantum computing paradigms is the complexity involved in aligning input between the two systems due to different programming languages and paradigms. Another limitation is the significant vendor lock-in that characterizes many current quantum applications, making it challenging for developers to switch between different platforms or vendors easily. Moreover, the high cost associated with accessing and utilizing quantum hardware poses a financial challenge for organizations looking to integrate these technologies into their workflows. Additionally, the need for expertise from multiple disciplines when developing hybrid (quantum/classical) applications adds another layer of complexity that organizations must address.

How can Agile methodologies be leveraged to ensure successful implementation of the proposed hybrid full-stack iterative model?

Agile methodologies can be leveraged to ensure successful implementation of the proposed hybrid full-stack iterative model by promoting flexibility, collaboration, and continuous improvement throughout the development lifecycle. By breaking down tasks into smaller iterations or sprints, teams can quickly identify issues or bugs early on and make necessary adjustments promptly. Regular feedback loops within Agile frameworks allow for constant communication between team members working on different aspects of the project - whether it's coding in a quantum-agnostic manner or orchestrating deployment across cloud environments. Furthermore, Agile promotes adaptability by embracing changes as requirements evolve during development. This flexibility is crucial when dealing with complex integrations between classical and high-performance computing resources with quantum computations in an iterative manner as outlined in the proposed model. By implementing Agile principles such as transparency, frequent testing cycles, collaboration among cross-functional teams including developers writing code agnosticly both classically & quantally ,and stakeholders' involvement at every stage ensures that any challenges encountered during integration are addressed promptly while maintaining focus on delivering value through efficient execution within this innovative approach towards Quantum Software Engineering (QSE).