A Scientometric Review of Practical Applications in Quantum Natural Language Processing (QNLP): Trends, Gaps, and Research Opportunities | Zendy

Victor Ribeiro Da Silva | Zendy; Fabio Rocha Barbosa | Zendy; Jasson Carvalho Da Silva | Zendy; Francisco Jackson Dos Santos | Zendy; Ricardo De Andrade Lira Rabelo | Zendy; Joel Jose Puga Coelho | Zendy

Open Access

A Scientometric Review of Practical Applications in Quantum Natural Language Processing (QNLP): Trends, Gaps, and Research Opportunities

Author(s) -

Victor Ribeiro Da Silva,

Fabio Rocha Barbosa,

Jasson Carvalho Da Silva,

Francisco Jackson Dos Santos,

Ricardo De Andrade Lira Rabelo,

Joel Jose Puga Coelho

Publication year - 2025

Publication title -

ieee access

Language(s) - English

Resource type - Magazines

SCImago Journal Rank - 0.587

H-Index - 127

eISSN - 2169-3536

DOI - 10.1109/access.2025.3638646

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Quantum Natural Language Processing (QNLP) is an emerging interdisciplinary field that connects quantum computing and natural language processing (NLP), with the goal of improving language models through quantum algorithms. Although the field has gained increasing attention, research in QNLP remains fragmented, with limited studies mapping its evolution or practical implementations. This article presents a comprehensive scientometric analysis of QNLP research, revealing its conceptual foundations, research dynamics, and emerging directions. Using bibliographic data from the Scopus (2014-2024) and Web of Science (2014-2024) databases and analytical tools such as VOSviewer and Biblioshiny, we examined 116 publications following the PRISMA guidelines. The analysis covers publication growth, author productivity, leading journals, influential countries, and keyword trends. Network visualizations highlight the intellectual structure of the field, co-authorship patterns, and thematic clusters. The results indicate a sharp increase in QNLP studies since 2021, driven by advances in quantum hardware, frameworks such as lambeq , and growing interdisciplinary collaborations. However, during the literature mapping, we identified a significant gap regarding the applications of QNLP in various specific domains such as healthcare field. This study offers a quantitative mapping of the QNLP landscape, providing a structured overview of its development and outlining promising avenues for future exploration.

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