An Optimization Case Study For Solving A Transport Robot Scheduling Problem On Quantum-hybrid And Quantum-inspired Hardware

This case study compares the performance of D-Wave’s quantum-classical hybrid framework, Fujitsu’s quantum-inspired digital annealer, and Gurobi’s state-of-the-art classical solver in solving a transport robot scheduling problem from an industrially relevant real-world scenario. The benchmark focuses on the solution quality and end-to-end runtime of different model and solver combinations. Results show promise for the digital annealer and some opportunities for the hybrid quantum annealer in comparison with Gurobi. The study provides insights into the workflow for solving an application-oriented optimization problem with different strategies.