Exploring Utility in a Real-World Warehouse Optimization Problem: Formulation Based on Quantum Annealers and Preliminary Results
This addresses a real-world industrial optimization problem, but it appears incremental as it embeds quantum methods into existing classical software.
The paper tackled the challenge of integrating quantum and classical computing for warehouse optimization by proposing a Quantum Initialization module using D-Wave's Quantum Annealer, and preliminary testing showed it was compared against a classical version in a two-phase experiment.
In the current NISQ-era, one of the major challenges faced by researchers and practitioners lies in figuring out how to combine quantum and classical computing in the most efficient and innovative way. In this paper, we present a mechanism coined as Quantum Initialization for Warehouse Optimization Problem that resorts to D-Wave's Quantum Annealer. The module has been specifically designed to be embedded into already existing classical software dedicated to the optimization of a real-world industrial problem. We preliminary tested the implemented mechanism through a two-phase experiment against the classical version of the software.