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Recent Developments and Applications in Quantum Neural Network: A Review

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Abstract

Quantum neural network is a useful tool which has seen more development over the years mainly after twentieth century. Like artificial neural network (ANN), a novel, useful and applicable concept has been proposed recently which is known as quantum neural network (QNN). QNN has been developed combining the basics of ANN with quantum computation paradigm which is superior than the traditional ANN. QNN is being used in computer games, function approximation, handling big data etc. Algorithms of QNN are also used in modelling social networks, associative memory devices, and automated control systems etc. Different models of QNN has been proposed by different researchers throughout the world but systematic study of these models have not been done till date. Moreover, application of QNN may also be seen in some of the related research papers. As such, this paper includes different models which have been developed and further the implement of the same in various applications. In order to understand the powerfulness of QNN, few results and reasons are incorporated to show that these new models are more useful and efficient than traditional ANN.

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Authors and Affiliations

  1. Department of Mathematics, National Institute of Technology Rourkela, Rourkela, Odisha, 769008, India

    S. K. Jeswal & S. Chakraverty

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  1. S. K. Jeswal
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  2. S. Chakraverty
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Correspondence to S. Chakraverty.

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Jeswal, S.K., Chakraverty, S. Recent Developments and Applications in Quantum Neural Network: A Review. Arch Computat Methods Eng 26, 793–807 (2019). https://doi.org/10.1007/s11831-018-9269-0

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