Quantum Computing for Climate Resilience and Sustainability Challenges

This review outlines the transformative potential of quantum computing (QC) in addressing pressing global challenges in climate resilience and sustainable development. It focuses on:

• Quantum machine learning and quantum optimization for complex climate prediction and multi-infrastructure coordination.
• Applications including flood prevention, waste-to-energy conversion, and materials discovery for carbon capture.
• A comparative evaluation of current quantum algorithms and hardware in practical environmental use cases.

By leveraging QC’s computational advantages, this work presents a pathway for advancing data-driven solutions to planetary-scale environmental and sustainability challenges.

Recommended citation: Ho, Kin Tung Michael; Chen, Kuan-Cheng; Lee, Lily; Burt, Felix; Yu, Shang; & Lee, Po-Heng. (2024). "Quantum Computing for Climate Resilience and Sustainability Challenges." Proceedings of the 2024 IEEE International Conference on Quantum Computing and Engineering (QCE).
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