Quantum computing is a rapidly growing technology that exploits the principles of conventional information theory, computer science, and quantum mechanics principles to address complicated computational problems. The recent breakthroughs in information and communication technologies have yielded profound and intriguing insights into quantum computing research. For more advances in quantum computing, researchers are currently concentrating on exploiting material science in this burgeoning research domain to achieve outperform processing power. Henceforth, a scientometric analysis is undertaken to extract the role of material science in quantum computing by analyzing the published academic bibliometric data using CiteSpace. It appraises the research status quo of the field by analyzing yearly publication growth rate, average citation structure analysis, international research collaboration analysis, most cited publication analysis, and keyword co-occurrence network analysis. It deduced that two-qubit gates, quantum entanglement, and spin fluctuation are the research hotspots. Superconducting qubits and spin-orbit coupling are the current most active research areas in material science assisted-quantum computing research. China, the United States, and Japan are mediating in this field. Furthermore, it offers future research directives and significant clues to researchers for the further diffusion of knowledge in the research domain.
Quantum computing is a rapidly growing technology that exploits the principles of conventional information theory, computer science, and quantum mechanics principles to address complicated computational problems. The recent breakthroughs in information and communication technologies have yielded profound and intriguing insights into quantum computing research. For more advances in quantum computing, researchers are currently concentrating on exploiting material science in this burgeoning research domain to achieve outperform processing power. Henceforth, a scientometric analysis is undertaken to extract the role of material science in quantum computing by analyzing the published academic bibliometric data using CiteSpace. It appraises the research status quo of the field by analyzing yearly publication growth rate, average citation structure analysis, international research collaboration analysis, most cited publication analysis, and keyword co-occurrence network analysis. It deduced that two-qubit gates, quantum entanglement, and spin fluctuation are the research hotspots. Superconducting qubits and spin-orbit coupling are the current most active research areas in material science assisted-quantum computing research. China, the United States, and Japan are mediating in this field. Furthermore, it offers future research directives and significant clues to researchers for the further diffusion of knowledge in the research domain.
Quantum computing is a revolutionary field of research in science and technology, which provides sophisticated processing capacity and computation in a finite time frame based on quantum mechanics. It has the great potential to offer more effective and faster solutions to overcome current processing constraints. Therefore, to address the global significance, relevance, and exponential growth, it is imperative to conduct a thorough investigation and promote advancements through rigorous scientometric analysis. The current article presents the knowledge mapping of rapidly expanding quantum computing research using the CiteSpace visualization tool. The foundation of research is the scientific literature on quantum computing extracted from the Scopus database, covering the period of 2008–2022. It provides publication patterns, citation structure, and in-depth keyword co-occurrence network analysis insights to extract emerging research areas. It illustrates a variety of empirical approaches to discover the status quo and evolution. The findings reveal that quantum algorithms serve as the fundamental basis for all research fields, and quantum machine learning is the most active research area nowadays.
Abstract The field of quantum computing has undergone significant expansion and development in recent years. A quantitative and comprehensive examination of the research domain is essential to comprehend research trends and directions in the field. Henceforth, the current paper conducts a scientometric analysis of the academic literature on quantum computing retrieved from the Scopus database to understand the recent advances made by researchers in the domain. The analysis evaluates the state of the discipline's research by examining the most prominent journals and highly referenced articles. CiteSpace is leveraged to visualize the intellectual landscape of quantum state preparation by performing document co‐citation and author co‐citation analysis. The analysis reveals that trapped ions, photonic qubits, superconducting qubits, nitrogen‐vacancy centers, and nuclear spin qubits are the primary research topics in quantum computing. Furthermore, the most current research issues that require attention in the field are measurement‐based qubits, Majorana fermions, and quantum dots.
Quantum computing (QC) has the potential to be the next abstruse technology, with a wide range of possible applications and ramifications for organizations and markets. QC provides an exponential speedup by employing quantum mechanics principles, including superposition and entanglement. The potential advantages offered by the revolutionary paradigm have propelled scientific productions. Therefore, a highly pertinent investigation is required to elucidate the evolution of path-breaking trajectories for scientific advances. This study confronts the idea by presenting a scientometric analysis for the recent decade of literature collected from the Web of Science database in the computer science discipline. The scientometric implications of the article identify the significant research domains and provide an intensive insight into the publication patterns, country collaboration, geographical analysis, citation patterns, eminent journals, and research frontiers of each domain of QC. The scholarly literature analysis identifies key challenges in the QC knowledge domain. Overall, the inference reveals an evolutionary pathway for future research directives and collaboration in the domains of QC research. The research findings provide innovative significance to information scientists by presenting a comprehensive overview of QC research to help them find relevant applications, research topics, and key challenges.
Abstract Quantum cryptography (QC) provides security to information through laws of nature, particularly quantum mechanics. The necessity of making QC a living reality has provided the impetus to advancement in material science, which led to many publications since 1996. Therefore, in this work, we analyze the articles in the Scopus database concerning the contribution of material science in the development of QC through scientometric methods. A total of 1395 articles published from 1996 to 2022 were retrieved from the Scopus database. Subsequently, these articles were analyzed to retrieve publication patterns, major collaborating nations, significant documents, recent trends, and future directions. A comprehensive introduction to QC is also included to facilitate a better grasp of this field for a wide range of readers. The findings of this study show that China is the leading nation in developing QC through material science, closely followed by the United States and India. Moreover, the study indicates significant areas of QC where extensive work is being done from the material science standpoint through keyword and significant document analysis. Hence, the outcomes of this article can be valuable for researchers, newcomers, technology managers, and policymakers interested in the future of QC.
Quantum computing (QC) has emerged as a promising research area transitioning from theory to practical realization, driven by interdisciplinary integration. To gain a comprehensive understanding of the evolving research landscape in QC, this study conducts a scientometric analysis of scientific literature retrieved from the Scopus database between 2010 and 2023. Employing the CiteSpace visualization tool, this study examines publication trends, citation patterns, and identifies the prestigious journals in literature. Furthermore, collaboration analysis reveals the top collaborating countries highlighting the active global network of research in QC. Moreover, author cocitation analysis identifies prominent contributors, underscoring their impact and influence in the field. In addition, keyword cooccurrence analysis and thematic analysis pinpoints the areas of significant interest and emerging research frontiers. The content analysis further explores these findings to provide in-depth insights in to themes and trends shaping the field. By providing insights into the evolution of QC, this study contributes to a deeper understanding of technological advancements and determines the future pathway of the field.
Abstract The field of quantum computing holds tremendous potential for advancing sustainable development through the design and development of sustainable materials and technologies. The domain has undergone significant growth and development in recent years, necessitating a quantitative and inclusive analysis of research advancements to comprehend research trends and directions. Henceforth, a scientometric analysis of scholarly literature from the Scopus database has been conducted to understand the research status of the discipline by analysing publication trends, most cited article analysis, document co‐citation analysis, and author co‐citation analysis. Furthermore, the CiteSpace tool is used to fulfil the visualization needs and comprehensive analysis of scientific literature to highlight emerging topics and quantum computing trends. The results of the study unveil spin‐based quantum computing and lithographically defined quantum dots with exchange coupling as highly promising frontiers for exploration. These cutting‐edge advancements exhibit exceptional potential for attaining remarkable fidelity in the quantum computing domain. Furthermore, it uncovers a trove of potential research areas for delving into the captivating phenomenon of quantum entanglement. Nuclear magnetic resonance, quantum dots, and spontaneous parametric down‐conversion techniques emerge as promising areas, enticing scholars to embark on scientific quests aimed at unravelling the intricate complexities of entanglement. The study offers a comprehensive overview of quantum computing research advancements, serving as a valuable resource for researchers and policymakers driving sustainable development.