Quantum Machine Learning for Industry 5.0

Krishna Gupta, Patnam Jahnavi, Abhishek Hazra and Annushree Bablani ()
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Krishna Gupta: Indian Institute of Information Technology
Patnam Jahnavi: Indian Institute of Information Technology
Abhishek Hazra: Indian Institute of Information Technology Sricity
Annushree Bablani: Indian Institute of Information Technology

A chapter in Industry 5.0, 2025, pp 155-189 from Springer

Abstract: Abstract In Industry 5.0, quantum machine learning (QML) is becoming a key technology that makes sustainable human-centered industrial improvements possible. QML improves supply chain optimization, predictive maintenance, and decision-making by combining machine learning with the processing capability of quantum computing. Even with advances, Industry 5.0 suffers from various emerging challenges that need to be addressed soon. This study investigates how QML might promote human-machine cooperation, increase production effectiveness, and tackle challenging industrial problems. Through applications in industries like robotics, logistics, and manufacturing, QML fosters innovation and supports the ethical and sustainable practices of Industry 5.0. The chapter highlights QML’s disruptive potential in the contemporary industry by outlining important technical pillars, algorithms, and obstacles.

Keywords: Quantum machine learning; Industry 5.0; Human-machine collaboration; Predictive maintenance; Quantum computing; Supply chain optimization (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-87837-4_7

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DOI: 10.1007/978-3-031-87837-4_7

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