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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
Classical and Quantum Heuristics for the Binary Paint Shop Problem
V Vijendran, Dax Enshan Koh, Ping Koy Lam +1
The Binary Paint Shop Problem (BPSP) is an -hard optimisation problem in automotive manufacturing: given a sequence of cars, comprising distinct models each…
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…