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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

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Research and review articles are invited for publication in January 2026 (Volume 18, Issue 1)

Quantum computing-Enhanced AI systems for advanced business intelligence applications

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  • Quantum computing-Enhanced AI systems for advanced business intelligence applications

Itunu Taiwo 1, Adeyinka Ogunbajo 2 and Adefemi Quddus Abidola 3, *

1 Senior Analyst, Modern Retailing at American Airlines.

2 Department of Biosystems and Agricultural Engineering, Ferguson College of Agriculture, Oklahoma State University, USA.

3 Department of Geography and Planning, Lagos State University, Ojo, Lagos, Nigeria.

Review Article

International Journal of Science and Research Archive, 2025, 14(01), 1839-1847

Article DOI: 10.30574/ijsra.2025.14.1.0314

DOI url: https://doi.org/10.30574/ijsra.2025.14.1.0314

Received on 21 December 2024; revised on 27 January 2025; accepted on 30 January 2025

The convergence of quantum computing and artificial intelligence represents a transformative technological paradigm with unprecedented potential for business intelligence applications. This comprehensive review critically examines the revolutionary capabilities of quantum computing-enhanced AI systems in addressing complex computational challenges across multiple business domains. Through systematic analysis of emerging research, implementation frameworks, and interdisciplinary case studies, we investigate how quantum computing's unique computational mechanisms can fundamentally reshape data analysis, strategic decision-making, and predictive modeling. Our comprehensive examination reveals that quantum AI systems demonstrate remarkable potential to reduce computational complexity by up to 90%, enhance predictive accuracy by 60-75%, and provide unprecedented insights across financial, logistical, and strategic business intelligence domains. The research synthesizes evidence from multiple technological domains, highlighting the transformative potential of quantum-enhanced AI in solving previously intractable computational problems. By exploring technological capabilities, implementation challenges, and future research directions, this review provides a critical framework for understanding the emerging intersection of quantum computing and artificial intelligence in advanced business intelligence applications.

Quantum Computing; Artificial Intelligence; Business Intelligence; Machine Learning; Optimization; Predictive Modeling

https://journalijsra.com/sites/default/files/fulltext_pdf/IJSRA-2025-0314.pdf

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Itunu Taiwo, Adeyinka Ogunbajo and Adefemi Quddus Abidola. Quantum computing-Enhanced AI systems for advanced business intelligence applications. International Journal of Science and Research Archive, 2025, 14(01), 1839-1847. Article DOI: https://doi.org/10.30574/ijsra.2025.14.1.0314.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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