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quant-ph2026★ 1 cited
Harnessing Quantum Computing for Energy Materials: Opportunities and Challenges
Seongmin Kim, In-Saeng Suh, Travis S. Humble +3
Developing high-performance materials is critical for diverse energy applications to increase efficiency, improve sustainability and reduce costs. Classical computational methods h…
quant-ph2024
Quantum-Inspired Genetic Algorithm for Designing Planar Multilayer Photonic Structure
Zhihao Xu, Wenjie Shang, Seongmin Kim +3
Quantum algorithms are emerging tools in the design of functional materials due to their powerful solution space search capability. How to balance the high price of quantum computi…
quant-ph2024
Performance Analysis of an Optimization Algorithm for Metamaterial Design on the Integrated High-Performance Computing and Quantum Systems
Seongmin Kim, In-Saeng Suh
Optimizing metamaterials with complex geometries is a big challenge. Although an active learning algorithm, combining machine learning (ML), quantum computing, and optical simulati…