3 papers
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…
quant-ph2024
Efficient Internal Strategies in Quantum Relaxation based Branch-and-Bound
Hiromichi Matsuyama, Wei-hao Huang, Kohji Nishimura +1
A combinatorial optimization problem is to find an optimal solution under the constraints. This is one of the potential applications for quantum computers. Quantum Random Access Op…