This bibliometric study examines the field of quantum computing research from 2014 to 2023, utilizing the Web of Science Core Collection database and the Bibliometrix R package. A total of 1,260 documents from 688 sources were analyzed using bibliometric indicators, network analysis, and text mining techniques to identify research trends, collaboration patterns, and emerging themes. A five-fold increase in publications was observed, with the United States, China, and Germany emerging as the leading contributors to international collaborations. Core research areas were identified as quantum algorithms, error correction, and cryptography, while quantum machine learning and noisy intermediate-scale quantum (NISQ) computing were recognized as emerging trends. Potential research gaps in topological quantum computing and scalable error-correction schemes were identified. The findings underscore the necessity for continued focus on practical applications and interdisciplinary collaboration to advance quantum computing technologies.
This bibliometric study examines the field of quantum computing research from 2014 to 2023, utilizing the Web of Science Core Collection database and the Bibliometrix R package. A total of 1,260 documents from 688 sources were analyzed using bibliometric indicators, network analysis, and text mining techniques to identify research trends, collaboration patterns, and emerging themes. A five-fold increase in publications was observed, with the United States, China, and Germany emerging as the leading contributors to international collaborations. Core research areas were identified as quantum algorithms, error correction, and cryptography, while quantum machine learning and noisy intermediate-scale quantum (NISQ) computing were recognized as emerging trends. Potential research gaps in topological quantum computing and scalable error-correction schemes were identified. The findings underscore the necessity for continued focus on practical applications and interdisciplinary collaboration to advance quantum computing technologies.
IntroductionQuantum Internet has emerged as a transformative technological frontier, attracting increasing global research attention. Its development spans foundational physics, cryptography, network engineering, and applied technologies, demanding systematic evaluation of scholarly progress. ObjectiveThis study aims to present a comprehensive bibliometric analysis of Quantum Internet research, identifying publication trends, influential contributors, collaborative networks, and evolving thematic directions. MethodData were retrieved from the Scopus database and analyzed using Biblioshiny, VOSviewer, and CiteSpace. The study examined publication growth, author and journal influence, country-level collaborations, bibliographic coupling, keyword co-occurrence, and thematic evolution. ResultsFindings indicate steady growth in publications since 2016, peaking in 2024 with 130 documents. Leading contributors include Angela Sara Cacciapuoti, Marcello Caleffi, Laszlo Gyongyosi, and Stephanie Wehner, while prominent publication outlets are Physical Review Letters, Physical Review A, Scientific Reports, and New Journal of Physics. Country-level analysis highlights the United States, China, the United Kingdom, Italy, and Japan as primary research hubs, with strong international collaborations. Network analyses reveal 15 author and 10 journal clusters, underscoring interdisciplinary connections. Bibliographic coupling and keyword co-occurrence identify critical themes such as quantum key distribution, entanglement distribution, quantum memory, blockchain, and cybersecurity, alongside emerging areas like quantum IoT and quantum machine learning. Thematic maps show a shift from theoretical constructs to application-driven studies, integrating artificial intelligence and advanced sensing. Trend analyses confirm growing attention to scalability, security, and interdisciplinary applications, though gaps remain in resource optimization, experimental validation, and integration with classical infrastructures. ConclusionsThis analysis provides a knowledge framework and practical insights into the intellectual and conceptual structure of Quantum Internet research. By mapping influential contributors, core themes, and research gaps, the study supports academics, policymakers, and industry in making strategic investments and advancing future research in this rapidly evolving field.
Abstract Quantum computing has rapidly emerged as one of the fastest-growing research domains, driven by both technological breakthroughs and the promise of computational advantages over classical systems. This study presents a comprehensive bibliometric analysis of the global quantum computing literature from 1980 to 2025, comprising 31,662 publications indexed in Scopus and accumulating over 800,000 citations. Using advanced bibliometric techniques—including co-authorship mapping, keyword co-occurrence networks, co-citation analysis, and centrality measures—we characterize publication trends, institutional contributions, collaborative structures, and thematic evolution across the field. The results reveal exponential growth in output since 2015, led primarily by the United States, China, and Europe, with key institutions such as MIT, the Chinese Academy of Sciences, CNRS, and the University of Waterloo at the forefront. The intellectual structure exhibits a dual-core configuration, with foundational algorithmic work (e.g. Shor, Grover, Nielsen & Chuang) tightly connected to emerging NISQ-era applications such as quantum machine learning, cryptography, and hybrid algorithms. Keyword analysis reveals the progressive expansion from core quantum algorithms toward increasingly diverse applied domains in healthcare, finance, chemistry, energy, and climate modeling. Public funding bodies (e.g. NSFC, NSF, European Commission, DOE, DoD, MoST) and private-sector investment from major technology firms are jointly driving this translational acceleration. Together, these findings provide an integrated quantitative map of the field’s evolution, offering valuable insight for future scientific policy, international collaboration, and strategic funding initiatives.
A revolutionary technology impacting the field of science, engineering, and education is Quantum computing. Quantum Computing in education is a discipline regarding its application to teaching and learning. The focus of the paper is a bibliometric analysis of academic literature on quantum computing in education to identify the intellectual structure thereof, patterns of growth, and future research perspectives. It is based on the Scopus database as a primary source of data. It covers 104 relevant publications published during 2011-2025. They were sorted and analyzed with the help of Bibliometrix package and its Biblioshiny interface in R to show the annual trends of publications. The findings indicate that quantum computing education is becoming of academic interest, and the number of research materials is growing rapidly since 2020. The highly interdisciplinary nature, with engineering, computer science, physics, and social sciences, respectively, playing the dominant role. There is a transition towards more basic quantum concepts into applied educational concepts, such as curriculum development, engineering education, teaching practices, and student learning. The paper has an important implication for researchers, teachers, and policy formulators. It also outlines the direction of future research that can be used to advance the sustainable development of quantum computing education.
This paper presents a comprehensive systematic and bibliometric review of the rapidly expanding literature on quantum computing. The study addresses six research questions concerning prominent themes, temporal evolution, types of key findings, frequently reported research gaps, higher-order gap typologies, and future research directions. Utilizing a researcher-curated database, the final corpus comprises 153 studies compiled from non-Scopus, Scopus and Web of Science. The results demonstrate that quantum hardware and architecture, algorithms, and theoretical foundations dominate the current literature. Furthermore, publication output has risen significantly between 2018 and 2025. Among the reported findings, algorithmic innovations, performance claims, and hardware advancements are the most common. Despite this progress, the field faces substantial barriers; technical, scalability, fault-tolerance, and methodological-standardization gaps are the most frequently reported. Based on these identified gaps, eight actionable future research directions emerge to guide the scientific community. Ultimately, this review concludes that quantum computing is actively transitioning from a purely physics-driven domain into a multidisciplinary, engineering- and application-oriented science. However, its continued advancement is presently constrained by a hardware-methodology-application triad, wherein reporting practices often outpace empirical verification and standardized benchmarking.
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.
The paper provides an exploration of quantum computing, emphasizing its potential and challenges. It begins with the fundamentals of quantum mechanics and differentiates between classical and quantum computing, focusing on concepts like qubits, superposition, and entanglement. The authors identify the existing limitations in practical quantum applications, particularly within the Noisy Intermediate-Scale Quantum (NISQ) era, where issues like noise in quantum circuits hinder scalability and reliability. The paper addresses the need for advancements in hardware, error correction techniques, and practical algorithms tailored for current technological constraints. Additionally, it discusses the implications of quantum computing on cryptography, underscoring the vulnerability of traditional cryptographic methods and the urgency for postquantum cryptographic solutions. The methodology involves literature review, expert consultations, and bibliometric analysis to gauge global research trends in quantum computing. The paper highlights crucial research gaps, particularly in the development of scalable quantum algorithms suitable for near-future applications.