3 papers
quant-ph2026
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…
quant-ph2026
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…
quant-ph2026
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…