自动化量子软件工程

IF 2 2区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Automated Software Engineering Pub Date : 2024-04-12 DOI:10.1007/s10515-024-00436-x
Aritra Sarkar
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引用次数: 0

摘要

随着拥有数百量子比特的大型量子处理器越来越多,量子计算解决经典计算机难以解决的问题的潜力正变得越来越明显。同时设计高效的量子算法和软件是实现量子优势的关键。由于量子逻辑具有独特的反直觉性质,量子软件工程极具挑战性。此外,随着量子系统规模的扩大,使用量子汇编语言和量子比特级推理进行传统编程变得不可行。自动化量子软件工程(AQSE)有助于降低入门门槛、加快开发速度、减少错误并提高量子软件的效率。本文阐明了研究 AQSE 的动机(为什么)、对这一框架的精确描述(是什么),以及对实现这一框架所需组件的思考(怎么做)。
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Automated quantum software engineering

As bigger quantum processors with hundreds of qubits become increasingly available, the potential for quantum computing to solve problems intractable for classical computers is becoming more tangible. Designing efficient quantum algorithms and software in tandem is key to achieving quantum advantage. Quantum software engineering is challenging due to the unique counterintuitive nature of quantum logic. Moreover, with larger quantum systems, traditional programming using quantum assembly language and qubit-level reasoning is becoming infeasible. Automated Quantum Software Engineering (AQSE) can help to reduce the barrier to entry, speed up development, reduce errors, and improve the efficiency of quantum software. This article elucidates the motivation to research AQSE (why), a precise description of such a framework (what), and reflections on components that are required for implementing it (how).

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来源期刊
Automated Software Engineering
Automated Software Engineering 工程技术-计算机:软件工程
CiteScore
4.80
自引率
11.80%
发文量
51
审稿时长
>12 weeks
期刊介绍: This journal details research, tutorial papers, survey and accounts of significant industrial experience in the foundations, techniques, tools and applications of automated software engineering technology. This includes the study of techniques for constructing, understanding, adapting, and modeling software artifacts and processes. Coverage in Automated Software Engineering examines both automatic systems and collaborative systems as well as computational models of human software engineering activities. In addition, it presents knowledge representations and artificial intelligence techniques applicable to automated software engineering, and formal techniques that support or provide theoretical foundations. The journal also includes reviews of books, software, conferences and workshops.
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