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QUANTUM COMPUTING IN INDUSTRIAL ENVIRONMENTS: WHERE DO WE STAND AND WHERE ARE WE HEADED?

MAY 2025   -  Volume: 100 -  Pages: 267-274

DOI:

https://doi.org/10.52152/D11380

Authors:

ENEKO OSABA - INIGO PEREZ DELGADO - ALEJANDRO MATA ALI - PABLO MIRANDA RODRIGUEZ - AITOR MORENO FERNANDEZ DE LECETA - LUKA CARMONA RIVAS

Disciplines:

  • INFORMATION TECHNOLOGY AND KNOWLEDGE (INTELIGENCIA ARTIFICIAL Y SIMULACION )

Downloads:   6

How to cite this paper:  

Received Date :   28 November 2024

Reviewing Date :   2 December 2024

Accepted Date :   24 January 2025

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Key words:
Quantum Computing, Quantum Annealing, Quantum Gate-based computing, Tensor Networks, Job-Shop Scheduling, industrial application, industrial computing, job shop, route planning, industry complex probñem
Article type:
ARTICULO DE INVESTIGACION / RESEARCH ARTICLE
Section:
RESEARCH ARTICLES

This article explores the current state and future prospects of quantum computing in industrial environments. Firstly, it describes three main paradigms in this field of knowledge: gate-based quantum computers, quantum annealers, and tensor networks. The article also examines specific industrial applications, such as bin packing, job shop scheduling, and route planning for robots and vehicles. These applications demonstrate the potential of quantum computing to solve complex problems in the industry. The article concludes by presenting a vision of the directions the field will take in the coming years, also discussing the current limitations of quantum technology. Despite these limitations, quantum computing is emerging as a powerful tool to address industrial challenges in the future.

Keywords: Quantum Computing, Quantum Annealing, Quantum Gate-based computing, Tensor Networks, Job-Shop Scheduling.

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