5 papers · 1 filter
Adaptive Qubit Freezing Enables Robust Graph Partitioning for Divide-and-Conquer QAOA
Sokea Sang, Leanghok Hour, Dongmin Kim +1
Divide-and-conquer variants of the Quantum Approximate Optimization Algorithm (QAOA) provide a promising route for executing combinatorial optimization problems beyond the qubit ca…
Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA
Sokea Sang, Leanghok Hour, Sanghyeon Lee +4
Divide-and-conquer strategies mitigate hardware constraints for the Quantum Approximate Optimization Algorithm (QAOA) on Noisy Intermediate-Scale Quantum (NISQ) devices by partitio…
Learning-Optimized Qubit Mapping and Reuse to Minimize Inter-Core Communication in Modular Quantum Architectures
Sokea Sang, Leanghok Hour, Youngsun Han
Modular quantum architectures have emerged as a promising approach for scaling quantum computing systems by connecting multiple Quantum Processing Units (QPUs). However, this appro…
Hybrid Quantum Annealing Approach for High-Dimensional and Multi-Criteria Constrained Quadratic Optimization in Arctic Ship Routing
Tara Kit, Kimsay Pov, Myeongseong Go +5
The opening of Arctic sea routes presents unprecedented opportunities for global trade but poses significant operational and computational challenges due to the dynamic nature of s…
Improving Zero-noise Extrapolation for Quantum-gate Error Mitigation using a Noise-aware Folding Method
Leanghok Hour, Myeongseong Go, Youngsun Han
Recent thousand-qubit processors represent a significant hardware advancement, but current limitations prevent effective quantum error correction (QEC), necessitating reliance on q…