3 papers
quant-ph2026
Near-Optimal Parameter Tuning of Level-1 QAOA for Ising Models
V Vijendran, Dax Enshan Koh, Eunok Bae +3
The Quantum Approximate Optimisation Algorithm (QAOA) tackles combinatorial optimisation problems by encoding their solutions into the ground state of an Ising Hamiltonian prepared…
quant-ph2026
The power of entanglement in distributed quantum machine learning
Yerim Kim, Kiwmann Hwang, Hyukjoon Kwon +1
The quantum internet aims to interconnect distant devices and enable large-scale computation through distributed quantum algorithms. One of the key obstacles is communication laten…
quant-ph2024
Modified Recursive QAOA for Exact Max-Cut Solutions on Bipartite Graphs: Closing the Gap Beyond QAOA Limit
Eunok Bae, Hyukjoon Kwon, V Vijendran +1
Quantum Approximate Optimization Algorithm (QAOA) is a quantum-classical hybrid algorithm proposed with the goal of approximately solving combinatorial optimization problems such a…