量子计算的物理学信息:十年科学计量分析

IF 3.1 3区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Vaishali Sood, Rishi Pal Chauhan
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引用次数: 0

摘要

量子计算是一种新兴计算技术,具有解决复杂计算问题的潜力。这一革命性的领域激发了研究界的激烈探索,因此有必要进行全面研究,以勾勒科学轨迹并收集研究进展。本研究通过 Scopus 数据库对近十年(2014-2023 年)的量子计算研究进行了科学计量学调查。通过对发表模式、高被引文章、文章共引和作者共引进行分析,阐明了研究轨迹。结果表明,量子比特质量控制是研究的重点,此外还有量子密码学、量子神经网络、量子退火和量子-经典/经典-量子算法方面的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Physics informed quantum computing: A decade scientometric analysis

Quantum computing is an emergent computational technology having potential to solve complex computational problems. This revolutionary domain spurs intense exploration within the research community, necessitating a thorough examination to delineate scientific trajectories and glean research advancements. In this study, a scientometric investigation of quantum computing research limited to recent decade (2014-2023) is conducted sourced from the Scopus database. Analyses of publication patterns, top-cited articles, article co-citation, and author co-citation are performed to elucidate research trajectories. The results highlight that qubit quality control is a major focus of study, along with research in quantum cryptography, quantum neural networks, quantum annealing, and quantum-classical/classical-quantum algorithms.

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来源期刊
Journal of Computational Science
Journal of Computational Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
5.50
自引率
3.00%
发文量
227
审稿时长
41 days
期刊介绍: Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory. The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data driven modeling and simulation. This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods. Computational science typically unifies three distinct elements: • Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous); • Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems; • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).
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