发表机构
The Open University; Politecnico di Milano（开放大学; 米兰理工大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文探讨混合经典-量子计算软件方案，分析现有工具并列出关键资源，指出混合计算因依赖经典前后处理而可能成为长期模式，并提出未来研究议程。
AI 中文摘要
尽管量子计算具有前景和潜力，但当前大多数量子计算的发展在相关实际应用方面存在若干局限性。因此，混合经典-量子计算已成为一种可行的解决方案。本文讨论了混合经典-量子计算解决方案的软件方面，以理解和考察混合计算解决方案在实践中预期如何运作。本文考察了现有的软件解决方案（云应用、中间件框架和API网关），这些方案能够使经典计算和量子计算协同工作。对于从业者，本文提供了一份精选的算法、全栈库、模拟器和云服务提供商列表，这些很可能对任何混合计算解决方案的开发至关重要。最后，我们确定了经典-量子混合软件工程未来研究的议程，以及开发功能强大、稳健的混合软件系统的一些近期优先事项。本文认为，由于量子执行对经典预处理和后处理的深度依赖，混合计算可能代表经典-量子计算的近乎永久性结果，而非过渡性的权宜之计。
英文摘要
Despite the promise and potential of quantum computing, most of the current day developments of quantum computing have several limitations for relevant practical use. As a result, hybrid classical-quantum computing has emerged as a viable solution. This paper discusses the software aspects of hybrid classical-quantum computing solutions to understand and examine how hybrid computing solutions can be expected to work in practice. This paper examines existing software solutions (cloud applications, middleware frameworks, and API gateways) that can enable classical and quantum computing to work together. For practitioners the paper provides a curated list of algorithms, full stack libraries, simulators, and cloud service providers that are likely to be central to the development of any hybrid computing solutions. We conclude by identifying an agenda for future research on classical-quantum hybrid software engineering, and some near-term priorities for development of functional, robust hybrid software systems. The paper argues that due to the deep dependency of quantum execution on classical pre- and post-processing, hybrid computing may represent a near-permanent outcome of classical-quantum computing rather than a transitional workaround.
