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<p>Quantum computing leverages principles of quantum mechanics, particularly superposition and entanglement, to enable exceptional processing power and optimized efficiency. The existing scientometric analyses have examined quantum computing in general or within isolated domains, thus, the present study addresses this gap by uniquely conducting a domain-specific scientometric and visual analytics investigation across seven key scientific fields: security and defense, finance and economics, drug discovery and healthcare, manufacturing materials, artificial intelligence and machine learning, multimedia, and environmental science. The study utilizes the Scopus database as the primary source of literature, covering the period from 1996 to 2025. 9,919 articles were retrieved using a refined keyword strategy combining “quantum computing” with domain-specific terms and other filtered options. The extracted data was processed and analysed using CiteSpace software to evaluate the publication patterns, citation trends, country collaboration, keyword co-occurrence, and thematic relationships. The findings yield meaningful insights and uncover key trends, thematic hotspots, and emerging frontiers within each domain. Consequently, this study provides a structured framework to understand current research gaps and inform future directions in the field. Overall, the research offers a valuable overview of quantum computing’s role in shaping technological advancement and promoting cross-disciplinary innovation.</p>

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Analyzing Quantum Computing Applications Across Key Scientific Domains Using Trends and Visual Analytics

  • 期刊论文

  • 发表日期：

    2025年7月17日

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  • Keshav Singh Rawat,
  • Mamta Yadav

摘要

Quantum computing leverages principles of quantum mechanics, particularly superposition and entanglement, to enable exceptional processing power and optimized efficiency. The existing scientometric analyses have examined quantum computing in general or within isolated domains, thus, the present study addresses this gap by uniquely conducting a domain-specific scientometric and visual analytics investigation across seven key scientific fields: security and defense, finance and economics, drug discovery and healthcare, manufacturing materials, artificial intelligence and machine learning, multimedia, and environmental science. The study utilizes the Scopus database as the primary source of literature, covering the period from 1996 to 2025. 9,919 articles were retrieved using a refined keyword strategy combining “quantum computing” with domain-specific terms and other filtered options. The extracted data was processed and analysed using CiteSpace software to evaluate the publication patterns, citation trends, country collaboration, keyword co-occurrence, and thematic relationships. The findings yield meaningful insights and uncover key trends, thematic hotspots, and emerging frontiers within each domain. Consequently, this study provides a structured framework to understand current research gaps and inform future directions in the field. Overall, the research offers a valuable overview of quantum computing’s role in shaping technological advancement and promoting cross-disciplinary innovation.