Quantum Computing in Industrial Environments: Where Do We Stand and Where Are We Headed?

TL;DR

This paper reviews the current state and future directions of quantum computing in industry, focusing on main paradigms, applications, and technological limitations, highlighting its potential to solve complex industrial problems.

Contribution

It provides a comprehensive overview of quantum computing paradigms, industrial applications, and future prospects, emphasizing current limitations and emerging opportunities.

Findings

Quantum computing includes gate-based, annealers, and tensor networks.

Applications like scheduling and route planning show industry relevance.

Quantum technology faces current limitations but holds future promise.

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.