4 papers
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…
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…
Automating Experimental Optics with Sample Efficient Machine Learning Methods
Arindam Saha, Baramee Charoensombutamon, Thibault Michel +7
As free-space optical systems grow in scale and complexity, troubleshooting becomes increasingly time-consuming and, in the case of remote installations, perhaps impractical. An ex…
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…