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Science & Technology Libraries Volume 39, 2020 - Issue 4
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Articles

Bibliometric Survey of Quantum Machine Learning

Mandaar Pandea Symbiosis Center for Information Technology, Symbiosis International University, Pune, IndiaCorrespondence[email protected]
&
Preeti Mulayb Computer Science Department, Symbiosis Institute of Technology, Symbiosis International University, Pune, India
Pages 369-382 | Published online: 16 Jun 2020

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Read on this site (3)

Ali Asghar Ahmadikia, Arman Shirzad & Ali Mohammad Saghiri. (2024) A Bibliometric Analysis of Quantum Machine Learning Research. Science & Technology Libraries 0:0, pages 1-22.
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B. M. Gupta, S. M. Dhawan & Ghouse Modin Mamdapur. (2021) Quantum Cryptography Research: A Scientometric Assessment of Global Publications during 1992-2019. Science & Technology Libraries 40:3, pages 282-300.
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Vaibhav S. Narwane, Angappa Gunasekaran, Bhaskar B. Gardas & Pinyarat Sirisomboonsuk. Quantum machine learning a new frontier in smart manufacturing: a systematic literature review from period 1995 to 2021. International Journal of Computer Integrated Manufacturing 0:0, pages 1-20.
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Articles from other publishers (9)

Sandeep Kumar Sood & Monika Agrewal. (2023) Quantum Machine Learning for Computational Methods in Engineering: A Systematic Review. Archives of Computational Methods in Engineering 31:3, pages 1555-1577.
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Priyanga Subbiah, N. Krishnaraj & Kiran Bellam. 2024. Applications and Principles of Quantum Computing. Applications and Principles of Quantum Computing 129 145 .
Lars Lundberg, Martin Boldt, Anton Borg & Håkan Grahn. (2024) Bibliometric Mining of Research Trends in Machine Learning. AI 5:1, pages 208-236.
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Mario Coccia, Saeed Roshani & Melika Mosleh. (2024) Evolution of Quantum Computing: Theoretical and Innovation Management Implications for Emerging Quantum Industry. IEEE Transactions on Engineering Management 71, pages 2270-2280.
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Lydia Fernandes, Mugdha Kulkarni & Mandaar B. Pande. (2023) A Systematic Literature Review of Classical and Quantum Machine Learning Approaches for Mutual Fund Portfolio Optimization. A Systematic Literature Review of Classical and Quantum Machine Learning Approaches for Mutual Fund Portfolio Optimization.
Puja Singh, Preeti Mulay & Yogesh Patil. (2023) Mapping Climate Change Mitigation Strategies Adopted by Industries: An Overview from First Commitment of Kyoto Protocol (2009–2023). Environmental and Climate Technologies 27:1, pages 775-796.
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Lei Yang, Li Feng, Longqing Zhang & Liwei Tian. (2021) Predicting freshmen enrollment based on machine learning. The Journal of Supercomputing 77:10, pages 11853-11865.
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Hasan Yetis & Mehmet Karakoes. (2021) Investigation of Noise Effects for Different Quantum Computing Architectures in IBM-Q at NISQ Level. Investigation of Noise Effects for Different Quantum Computing Architectures in IBM-Q at NISQ Level.
Adarsh Kumar, Surbhi Bhatia, Keshav Kaushik, S. Manjula Gandhi, S. Gayathri Devi, Diego A. De J. Pacheco & Arwa Mashat. (2021) Survey of Promising Technologies for Quantum Drones and Networks. IEEE Access 9, pages 125868-125911.
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