Abstract
ABSTRACT Quantum machine learning can play an essential role in smart manufacturing applications. This paper aimed to understand the state of the art of quantum computing in machine learning and its role in smart manufacturing. A systematic literature review of 45 articles from 34 reputed journals from 1995–2021 was carried out. The study grouped documents into different categories and sub-categories for detailed analysis. The four broad categories, namely quantum neural network, quantum regression, quantum clustering, and quantum for smart manufacturing technologies, were studied. However, the analysis revealed that most studies belonged to the quantum neural network. Quantum for smart manufacturing is gaining the attention of researchers and practitioners, and developed countries such as the USA and China are leading towards the implementation of quantum machine learning for smart manufacturing. This study proposed a framework of quantum-integrated smart manufacturing and specified significant research gaps for future trends and directions. Also, valuable insights into quantum machine learning and its adoption for smart manufacturing have been offered.
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