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Quantum-Powered Hyperautomation

Ravikumar R. N.Marwadi University, Rajkot, IndiaS. AarthiMarwadi University, Rajkot, IndiaNodir JumaevTashkent State University of Economics, Tashkent, UzbekistanZokir MamadiyarovTermez University of Economics and Service, Termez, UzbekistanNeha KumariSharvanthika K. S.
ABI

Abstract

This chapter investigates the transformative potential of Quantum-Powered Hyperautomation by integrating quantum computing with artificial intelligence and automation technologies. It proposes a layered architectural framework combining Quantum Machine Learning (QML), Quantum Neural Networks (QNNs), and Robotic Process Automation (RPA) to achieve intelligent process discovery, real-time decision-making, and adaptive automation. Through practical case studies in logistics and healthcare, the chapter illustrates how quantum-enhanced systems can significantly improve operational efficiency, responsiveness, and resource utilization. It also explores challenges related to scalability, ethical governance, and legacy integration, while offering strategic recommendations and future research directions. The chapter positions quantum-powered Hyperautomation as a next-generation solution for resilient, secure, and adaptive enterprise transformation.

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