This research examines the energy efficiency of city districts through the Malmquist–DEA model and investigates the spatial effects of the service trade and the digital economy on energy efficiency in urban green development. The study also delves into the specific context of the AI service trade to gain insights into and align with the emerging digital intelligence industry. The interplay of the service trade with the digital economy, alongside the AI service trade with innovation, significantly enhances urban energy efficiency and demonstrates positive externalities. Building on the empirical findings, this research employs cluster analysis to explore the green development of city districts and uses AI technology to program green communication and cooperation mechanisms across district clusters, employing quantum computation based on QUBO modeling. This study contributes to a deeper understanding of the cofunction of the service trade and the digital economy in terms of energy efficiency and aids in developing new quality productivities for green cities through quantum-based AI advancements. This research has clear implications for cutting-edge interdisciplinary applications of green AI technologies in social computing science.

中文翻译：

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人工智能和能源效率的服务贸易：基于QUBO建模的量子计算在绿色城市中数字经济的乘数效应


本研究通过 Malmquist-DEA 模型考察了城区的能源效率，并探讨了服务贸易和数字经济对城市绿色发展中能源效率的空间影响。该研究还深入探讨了 AI 服务贸易的特定背景，以深入了解新兴的数字智能行业并与之保持一致。服务贸易与数字经济的相互作用，以及人工智能服务贸易与创新的相互作用，显著提高了城市能源效率，并展示了积极的外部性。基于实证研究结果，本研究采用集群分析来探索城区的绿色发展，并利用人工智能技术利用基于 QUBO 模型的量子计算来编写跨区集群的绿色通信和合作机制。这项研究有助于更深入地了解服务贸易和数字经济在能源效率方面的协同作用，并有助于通过基于量子的人工智能进步为绿色城市开发新的优质生产力。这项研究对绿色人工智能技术在社会计算科学中的前沿跨学科应用具有明显的意义。