Work

Exploring Utility in a Real-World Warehouse Optimization Problem: Formulation Based on Quantum Annealers and Preliminary Results

Year: 2024

Type: conference-paper

Abstract: 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 experimentation against the classical version of the software.

Source: IEEE International Conference on Quantum Computing and Engineering (QCE)

DOI: 10.1109/qce60285.2024.10359

Authors: Eneko Osaba, Esther Villar-Rodriguez, Antón Asla

Institution: Tecnalia

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Eusko Jaurlaritza

Award: G515756945