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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

Stream data and quantum mechanics together in contemporary research

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pp. 133–142Vol. 46Issue 1January 2025DOI: 10.47974/JIOS-1858XML
Received:
06 Aug 2024
Published Online:
19 Feb 2025
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1858
Pages:
133–142

Abstract

There are exciting connections between quantum physics and stream data analysis in the dynamic field of study. They handle, examine, and safeguard data in a practical manner. The peculiar connections between two seemingly unrelated topics are explained in this article. Novel quantum-based methods, protocols, and algorithms are also explored to address data-flow issues. It is imperative that this study use “Quantum-Enhanced Stream Data Analysis,” as suggested. It uses quantum ideas to analyse real-time data, improving its accuracy, speed, and quality. In order to make stream data safer and easier to use, this technology makes use of quantum data preparation, feature extraction, grouping, secure protocols, and predictive analysis. While the QSVM makes rapid predictions, the Quantum k-Means Algorithm groups data in real time. Data is protected during processing and transmission via quantum security. 

Keywords

Subject Classifications

68Q25

References

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