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A Comprehensive Survey on Quantum Machine Learning and Possible Applications

Author

Listed:
  • Muhammad Junaid Umer

    (Department of CS, Comsats University Islamabad, Wah, Pakistan)

  • Muhammad Imran Sharif

    (Comsats University Islamabad, Wah, Pakistan)

Abstract

Machine learning is a branch of artificial intelligence that is being used at a large scale to solve science, engineering, and medical tasks. Quantum computing is an emerging technology that has a very high computational ability to solve complex problems. Classical machine learning with traditional systems has some limitations for problem-solving due to a large amount of data availability. Quantum machine learning has high performance and computational ability that can effectively be used to solve computation tasks. This study reviews the latest articles in quantum computing and quantum machine learning. Building blocks of quantum computing and different flavors of quantum algorithms are also discussed. The latest work in quantum neural networks is also presented. In the end, different possible applications of quantum computing are also discussed.

Suggested Citation

  • Muhammad Junaid Umer & Muhammad Imran Sharif, 2022. "A Comprehensive Survey on Quantum Machine Learning and Possible Applications," International Journal of E-Health and Medical Communications (IJEHMC), IGI Global Scientific Publishing, vol. 13(5), pages 1-17, October.
    • Handle: RePEc:igg:jehmc0:v:13:y:2022:i:5:p:1-17
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    References listed on IDEAS

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    3. B. L. Higgins & D. W. Berry & S. D. Bartlett & H. M. Wiseman & G. J. Pryde, 2007. "Entanglement-free Heisenberg-limited phase estimation," Nature, Nature, vol. 450(7168), pages 393-396, November.
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    Cited by:

    1. Kavita R. Singh & Sagarkumar S. Badhiye & Kapil Gupta & Pravinkumar M. Sonsare & Roshni S. Khedgaonkar & Mukesh M. Raghuwanshi, 2025. "A Survey of Quantum Machine Learning: Understanding the Current Landscape and Future Opportunities," SN Operations Research Forum, Springer, vol. 6(4), pages 1-49, December.
    2. Abha Satyavan Naik & Esra Yeniaras & Gerhard Hellstern & Grishma Prasad & Sanjay Kumar Lalta Prasad Vishwakarma, 2025. "From portfolio optimization to quantum blockchain and security: a systematic review of quantum computing in finance," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-67, December.

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