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

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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Publication Details

Journal
DYNA
Published
2025-04-30
DOI
https://doi.org/10.52152/d11380
Citations
2
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
4.57
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article

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

Eneko Osaba, Iñigo Perez Delgado, Aitor Moreno Fernández De Leceta, Alejandro Mata Ali et al.
2 citations
DYNA
Big Data and Business Intelligence
4.57
article

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

Eneko Osaba, Iñigo Perez Delgado, Aitor Moreno Fernández De Leceta, Alejandro Mata Ali, Pablo Rogelio Hernández Rodríguez, LUKA CARMONA RIVAS
article en
2 citations

Abstract

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.

DYNAVol. 100(3)
Openalex Percentile: Top 6%
Big Data and Business Intelligence
4.57
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