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

Eneko Osaba*, Esther Villar-Rodriguez, Antón Asla

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationWorkshops Program, Posters Program, Panels Program and Tutorials Program
EditorsCandace Culhane, Greg T. Byrd, Hausi Muller, Yuri Alexeev, Yuri Alexeev, Sarah Sheldon
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages468-469
Number of pages2
ISBN (Electronic)9798331541378
DOIs
Publication statusPublished - 2024
Event5th IEEE International Conference on Quantum Computing and Engineering, QCE 2024 - Montreal, Canada
Duration: 15 Sept 202420 Sept 2024

Publication series

NameProceedings - IEEE Quantum Week 2024, QCE 2024
Volume2

Conference

Conference5th IEEE International Conference on Quantum Computing and Engineering, QCE 2024
Country/TerritoryCanada
CityMontreal
Period15/09/2420/09/24

Keywords

  • D-Wave
  • Hybrid quantum-classical computing
  • Quantum Annealing
  • Quantum Optimization

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