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Quantum Machine Learning for Industry 5.0

In: Industry 5.0

Author

Listed:
  • 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)

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.

Suggested Citation

  • Krishna Gupta & Patnam Jahnavi & Abhishek Hazra & Annushree Bablani, 2025. "Quantum Machine Learning for Industry 5.0," Springer Books, in: Indranil Sarkar & Abhishek Hazra & Poonam Maurya (ed.), Industry 5.0, pages 155-189, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-87837-4_7
    DOI: 10.1007/978-3-031-87837-4_7
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