论文标题
量子计算和量子算法研究中主题结构的文献计量分析
Bibliometric analysis of topic structure in quantum computation and quantum algorithm research
论文作者
论文摘要
我们介绍了1985 - 2020年发表的有关量子计算和量子算法的研究论文的文献分析。我们从已发表论文的年度数量的趋势中确定了三个不同的时期，并在每个时期就出版物的数量和全部引用数量显示了20个最重要的国家。在最近时期，该出版物的书目耦合网络的特征是具有小直径的密集，小世界网络，其中包含14个大型社区，其主题是在各种物理系统中制造Qubits，对量子算法的研究，研究量子算法的研究以及其他相关主题。量子机学习是量子计算中新兴的主题之一，被发现是第五大独立社区。
We present a bibliometric analysis of the research papers on quantum computation and quantum algorithms published in 1985-2020. We identify three distinct periods from the trend of the annual number of published papers, and show the 20 top contributing countries in each period in terms of the number of publications and the number of total citations. The bibliographic coupling network of the publications in the latest period is characterized as a dense, small-world network with a small diameter, which contains 14 large communities, whose topics are the fabrication of qubits in various physical systems, studies of the quantum algorithms, and other related topics. Quantum machine learning, one of the emerging topics in quantum computation, is found to be the fifth-largest independent community.
