应对量子软件生态系统中的社会技术复杂性挑战
Navigating the Socio-Technical Complexity Challenge in Quantum Software Ecosystems
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中文总结 AI 辅助
本文针对量子计算环境选择面临的挑战，运用设计科学研究方法，通过社会技术视角构建评估框架，引入引力阱及其属性、社会技术需求等结构，经示例案例演示评估，推动了量子生态系统理论及实践指导发展。
中文摘要 AI 辅助
量子计算环境由硬件、软件开发工具包和应用程序等异构层组成。管理这些环境的从业者面临着碎片化且快速发展的局面，几乎没有原则性的导航指南。本文提出了一个通过社会技术视角评估量子计算环境选择的框架，该框架采用设计科学研究方法开发。借鉴量子软件工程文献以及组织和社会技术研究，该框架引入了三个分析结构：引力阱及其属性，用于描述某些技术和结构条件如何对周围环境选择产生越来越大的吸引力；社会技术需求，用于阐明可据此评估这些吸引力的规范性目标。该框架支持从业者做出深思熟虑、情境感知的环境选择，以保持架构灵活性并支持该领域的演进发展。通过示例案例对框架进行了演示和评估。该贡献推动了量子生态系统理论以及为组织和从业者在当前不断发展的量子计算领域中导航提供的实践指导。
英文摘要
Quantum computing environments are composed of heterogeneous layers spanning hardware, software development kits, and applications. Practitioners curating these environments face a fragmented and rapidly evolving landscape with few principled guides for navigation. This paper presents a framework for evaluating quantum computing environment choices through a socio-technical lens, developed using Design Science Research methodology. Drawing on the quantum software engineering literature as well as organizational and socio-technical research, the framework introduces three analytical constructs: gravity wells and their properties, which characterize how certain technologies and structural conditions exert increasing pull on surrounding environment choices, and socio-technical desiderata, which articulate the normative goals against which those pulls can be evaluated. The framework supports practitioners in making deliberate, context-aware environment choices that preserve architectural flexibility and support the evolutionary development of the field. Demonstration and evaluation of the framework is conducted through exemplary cases. The contribution advances both the theory of quantum ecosystems and the practical guidance available to organizations and practitioners navigating the current, evolving field of quantum computing.
