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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaWorkshops Program, Posters Program, Panels Program and Tutorials Program
EditoresCandace Culhane, Greg T. Byrd, Hausi Muller, Yuri Alexeev, Yuri Alexeev, Sarah Sheldon
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas468-469
Número de páginas2
ISBN (versión digital)9798331541378
DOI
EstadoPublicada - 2024
Evento5th IEEE International Conference on Quantum Computing and Engineering, QCE 2024 - Montreal, Canadá
Duración: 15 sept 202420 sept 2024

Serie de la publicación

NombreProceedings - IEEE Quantum Week 2024, QCE 2024
Volumen2

Conferencia

Conferencia5th IEEE International Conference on Quantum Computing and Engineering, QCE 2024
País/TerritorioCanadá
CiudadMontreal
Período15/09/2420/09/24

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 9: Industria, innovación e infraestructura
    ODS 9: Industria, innovación e infraestructura

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