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The Journal of Supercomputing

Quantum computing for edge AI: opportunities, challenges, and future research directions

Hoa Tran‐Dang, Dong‐Seong Kim

Published Mar 20, 2026• 0 citations
Publisher
DOI
10.1007/s11227-026-08436-2

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The convergence of quantum computing and edge artificial intelligence (AI) represents a transformative advancement in real-time decision-making capabilities across diverse domains. This chapter explores the intricate relationship between these two cutting-edge technologies, emphasizing their synergistic potential to enhance urban management, healthcare, and industrial automation. By leveraging quantum computing's computational prowess alongside the low-latency processing capabilities of edge AI, organizations can address complex challenges and optimize operations in dynamic environments. The discussion delves into current quantum technologies relevant to edge AI, the architectural considerations for successful implementation, and the potential applications that can benefit from this integration. Additionally, significant technical challenges, such as hardware limitations, algorithm development, and security concerns, are examined, along with future directions to overcome these barriers. Ultimately, this chapter highlights the promising future of quantum edge AI as a pivotal solution for enhancing efficiency, sustainability, and responsiveness in the modern landscape.