3 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Plasmonic Nanobubbles: A Perspective
Seunghyun Moon, Qiushi Zhang, Zhihao Xu +5
The field of plasmonic nanobubbles, referring to bubbles generated around nanoparticles due to plasmonic heating, is growing rapidly in recent years. Theoretical, simulation and ex…