American Journal of Advanced Multidisciplinary Research and Innovation

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Advanced Computing for Sustainable Development: Exploring the Convergence of AI, Quantum Technologies and Energy-Efficient Computing

Author(s) Fei-Fei Li
Country United States
Abstract The rapid expansion of artificial intelligence, cloud computing, high-performance computing, and data-intensive digital services has created new opportunities for economic and social development while simultaneously increasing computational energy consumption and environmental pressure. Sustainable development therefore requires computing paradigms that improve computational capabilities while reducing energy use, material consumption, and carbon emissions. This paper examines the convergence of Artificial Intelligence (AI), quantum technologies, and energy-efficient computing as an emerging pathway for sustainable digital transformation. A qualitative and conceptual research methodology based on secondary literature is employed to analyse developments in AI accelerators, neuromorphic computing, edge computing, green data centres, quantum computing, quantum machine learning, and renewable-energy-powered computational infrastructure. The study proposes an integrated framework in which AI provides intelligent optimisation, quantum technologies address selected computationally complex problems, and energy-efficient architectures reduce the environmental cost of computation. Potential applications include climate modelling, renewable-energy optimisation, smart grids, sustainable transportation, drug discovery, materials science, environmental monitoring, and resource optimisation. However, challenges involving quantum hardware maturity, algorithmic efficiency, hardware manufacturing, cooling requirements, electronic waste, data-centre energy demand, cybersecurity, skills shortages, and unequal technological access remain significant. The paper argues that sustainable advanced computing should not be evaluated solely according to computational performance. Instead, future systems should be assessed through a broader framework incorporating energy efficiency, carbon intensity, lifecycle impacts, resource utilisation, scalability, accessibility, and societal value. The convergence of AI, quantum technologies, and energy-efficient computing could become an important foundation for sustainable digital infrastructure when technological innovation is aligned with responsible governance and environmental objectives.
Keywords Advanced Computing, Artificial Intelligence, Quantum Computing, Energy-Efficient Computing, Sustainable Development, Green Computing, Neuromorphic Computing, Edge Computing, Green Data Centres, Sustainable Digital Transformation.
Field Engineering
Published In Volume 5, Issue 6, November-December 2023
Published On 2023-12-04
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