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Quantum Computing for Machine Learning: A Comprehensive Review of Current Trends

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Quantum Computing for Machine Learning: A Comprehensive Review of Current Trends


BhaveshKumar Navinchandra Ka Patel



BhaveshKumar Navinchandra Ka Patel "Quantum Computing for Machine Learning: A Comprehensive Review of Current Trends" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-2, April 2025, pp.1122-1131, URL: https://www.ijtsrd.com/papers/ijtsrd79700.pdf

Quantum computing (QC) has emerged as a disruptive technology with the potential to revolutionize machine learning (ML) by solving computationally intractable problems exponentially faster than classical computers. This paper provides an in-depth review of quantum machine learning (QML), covering fundamental principles, key algorithms, hybrid quantum-classical approaches, and real-world applications. We analyze the latest advancements in quantum-enhanced ML models, including quantum neural networks (QNNs), quantum support vector machines (QSVMs), and quantum optimization techniques. Additionally, we discuss critical challenges such as qubit de-coherence, error correction, and scalability in noisy intermediate-scale quantum (NISQ) devices. Finally, we outline future research directions, including fault-tolerant quantum computing and quantum data encoding strategies. This review serves as a comprehensive resource for researchers exploring the intersection of quantum computing and machine learning.

Quantum computing, machine learning, quantum machine learning (QML), quantum algorithms, hybrid quantum-classical models, NISQ devices, quantum error correction


IJTSRD79700
Volume-9 | Issue-2, April 2025
1122-1131
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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