Quantum and Artificial Intelligence: Exploring Their Convergence Through Scientometrics
DOI:
https://doi.org/10.18041/2619-4465/interfaces.1.13396Palavras-chave:
Artificial Intelligence, Quantum, Scientometrics, Technological convergence, Network analysisResumo
Technological and scientific advancements in recent years have enabled us to manipulate technologies that were once considered unimaginable. Among these, Artificial Intelligence (AI) and quantum physics have emerged as pivotal forces, significantly enhancing our capacity to achieve goals and solve complex problems. Given their growing relevance, a comprehensive review of the scientific output underpinning this new era is both timely and necessary. Such a review allows us to trace the increasing scholarly interest in these domains and to identify emerging trends in the synergy between them. Accordingly, the objective of this article is to present a scientometric analysis of the academic literature related to both AI and quantum science. To achieve this, we examined peer-reviewed articles from prestigious databases such as Scopus and Web of Science. The study spans the period from 2004 to 2024, analyzing key metrics such as publication growth, influential authors, leading institutions, and the geographic distribution of research. The results reveal an exponential growth trajectory, with a marked increase in interdisciplinary publications over the last decade. This analysis provides a structured overview of the intersection between quantum computing and AI, offering a solid foundation for researchers and practitioners to identify priority areas for future innovation.
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