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A Comprehensive Survey on Quantum Machine Learning and Possible Applications

Author

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  • 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, vol. 13(5), pages 1-17, October.
    • Handle: RePEc:igg:jehmc0:v:13:y:2022:i:5:p:1-17
    as

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    References listed on IDEAS

    as
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    3. Hsin-Yuan Huang & Michael Broughton & Masoud Mohseni & Ryan Babbush & Sergio Boixo & Hartmut Neven & Jarrod R. McClean, 2021. "Power of data in quantum machine learning," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
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