Reducing Complexity for Quantum Approaches in Train Load Optimization

ArXi:2603.29543v1 Announce Type: cross Efficiently planning container loads onto trains is a computationally challenging combinatorial optimization problem, central to logistics and supply chain management. A primary source of this complexity arises from the need to model and reduce rehandle operations-unproductive crane moves required to access blocked containers. Conventional mathematical formulations address this by