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Journal of Information and Optimization Sciences cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Open Access Research Article

Exploring quantum machine learning integrating quantum computing with AI for advanced predictive modeling and data analysis

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pp. 1871–1878Vol. 47Issue 5-AMay 2026DOI: 10.47974/JIOS-2279XML
Received:
01 Apr 2025
Published Online:
23 Apr 2026
Article type:
Research Article
Language:
EN
Article no.:
JIOS-2279
Pages:
1871–1878

Abstract

The integration of quantum computing and artificial intelligence change the way of prediction modeling and data analysis field. This study looks at the basic ideas, design concepts, and mathematical equations behind QML, with a focus on quantum kernel techniques and quantum neural networks. Tests that compare these new approaches to the old ones reveal that they are substantially more accurate and faster at doing mathematical framework to support study. When quantum systems are mixed with regular AI models, it shows how QML can be used to solve issues that were not possible before in fields like banking, healthcare, and science study.

Keywords

Subject Classifications

31A1033E30

References

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