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

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Hauptverfasser: Osaba, Eneko, Villar-Rodriguez, Esther, Asla, Antón
Format: Preprint
Veröffentlicht: 2024
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author Osaba, Eneko
Villar-Rodriguez, Esther
Asla, Antón
author_facet Osaba, Eneko
Villar-Rodriguez, Esther
Asla, Antón
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2409_09706
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Exploring Utility in a Real-World Warehouse Optimization Problem: Formulation Based on Quantum Annealers and Preliminary Results
Osaba, Eneko
Villar-Rodriguez, Esther
Asla, Antón
Emerging Technologies
Artificial Intelligence
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.
title Exploring Utility in a Real-World Warehouse Optimization Problem: Formulation Based on Quantum Annealers and Preliminary Results
topic Emerging Technologies
Artificial Intelligence
url https://arxiv.org/abs/2409.09706