Integration of Quantum Simulation with Generative AI for Sustainable Material Innovation in Architectural Design

The pursuit of sustainable architectural innovation increasingly demands the convergence of advanced computational tools capable of addressing both material performance and creative design generation. This paper explores the integration of quantum simulation with generative artificial intelligence (AI) for sustainable material innovation in architectural design, proposing a hybrid framework that unites quantum-level material modeling with data-driven design synthesis. Quantum simulation enables precise prediction of molecular and structural properties of emerging materials, while generative AI facilitates rapid exploration of architectural forms and performance-optimized design alternatives. By synthesizing advances in quantum computing, materials science, and generative design algorithms, the study evaluates how this interdisciplinary integration can accelerate environmentally responsive material discovery and enhance architectural sustainability metrics. The findings suggest that hybrid quantum–AI systems hold significant promise for reducing resource consumption, optimizing structural efficiency, and fostering novel material–form relationships that redefine sustainable architectural practice.