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quant-ph2026
Reducing Complexity for Quantum Approaches in Train Load Optimization
Zhijie Tang, Albert Nieto-Morales, Arit Kumar Bishwas
Efficiently planning container loads onto trains is a computationally challenging combinatorial optimization problem, central to logistics and supply chain management. A primary so…
quant-ph2026
A framework to evaluate the performance of Variational Quantum Algorithms
Ernesto Mamedaliev, Vladyslav Libov, Albert Nieto-Morales +2
Variational Quantum Algorithms (VQAs) are promising methods for solving combinatorial optimization problems on noisy intermediate-scale quantum (NISQ) devices. However, benchmarkin…