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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.

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Quantum Machine Learning for Industry 5.0

  • 章节

  • 发表日期：

    2025年

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  • Krishna Gupta,
  • Patnam Jahnavi,
  • Abhishek Hazra,
  • Annushree Bablani

摘要

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.