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quant-ph2025
Learning to Learn with Quantum Optimization via Quantum Neural Networks
Kuan-Cheng Chen, Hiromichi Matsuyama, Wei-Hao Huang
Quantum Approximate Optimization Algorithms (QAOA) promise efficient solutions to classically intractable combinatorial optimization problems by harnessing shallow-depth quantum ci…
quant-ph2025
Solving Capacitated Vehicle Routing Problem with Quantum Alternating Operator Ansatz and Column Generation
Wei-hao Huang, Hiromichi Matsuyama, Yu Yamashiro
This study proposes a hybrid quantum-classical approach to solving the Capacitated Vehicle Routing Problem (CVRP) by integrating the Column Generation (CG) method with the Quantum…