Cost Savings Through Quantum AI-Driven Optimizations
This chapter explores the transformative potential of Quantum Artificial Intelligence (QAI) in driving significant cost savings across various business operations. As organizations face increasing pressure to optimize resources and enhance operational efficiency, traditional computational methods often fall short in addressing complex, large-scale problems. Quantum AI, which synergizes the computational power of quantum computing with advanced machine learning techniques, presents a promising solution. This chapter delves into the theoretical underpinnings of QAI, showcases real-world applications in logistics, supply chain, finance, and manufacturing, and provides a comparative analysis of cost efficiencies achieved through QAI-driven optimizations. Case studies and empirical evidence highlight how QAI not only accelerates decision-making but also minimizes operational redundancies, ultimately leading to substantial financial benefits. The chapter concludes with future directions and challenges in the adoption of QAI technologies in mainstream business practices.
| Year of publication: |
2026
|
|---|---|
| Authors: | Dhawas, Pranali ; Faye, Pranali ; Pimpalshende, Pooja ; Deosarkar, Kaveri Samir ; Rewatkar, Rajendra M. ; Joshi, Devendra |
| Published in: |
Optimizing Business Operations With Quantum AI. - IGI Global Scientific Publishing, ISBN 9798337343495. - 2026, p. 87-124
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