3 citations · 12 across the 12 of their papers we have counts for
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cs.DC2024★ 3 cited
Distributed Quantum Approximate Optimization Algorithm on a Quantum-Centric Supercomputing Architecture
Seongmin Kim, Vincent R. Pascuzzi, Zhihao Xu +3
Quantum approximate optimization algorithm (QAOA) has shown promise in solving combinatorial optimization problems by providing quantum speedup on near-term gate-based quantum comp…
quant-ph2024★ 2 cited
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…