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An Advanced Hybrid Quantum Tabu Search Approach to Vehicle Routing Problems
James B. Holliday, Eneko Osaba, Khoa Luu
Quantum computing (QC) is expected to solve incredibly difficult problems, including finding optimal solutions to combinatorial optimization problems. However, to date, QC alone is…
On the Transfer of Knowledge in Quantum Algorithms
Esther Villar-Rodriguez, Eneko Osaba, Izaskun Oregi +2
Quantum computing is poised to transform computational paradigms across science and industry. As the field evolves, it can benefit from established classical methodologies, includi…
Steiner Traveling Salesman Problem with Quantum Annealing
Alessia Ciacco, Francesca Guerriero, Eneko Osaba
The Steiner Traveling Salesman Problem (STSP) is a variant of the classical Traveling Salesman Problem. The STSP involves incorporating steiner nodes, which are extra nodes not ori…
Quantum-Assisted Automatic Path-Planning for Robotic Quality Inspection in Industry 4.0
Eneko Osaba, Estibaliz Garrote, Pablo Miranda-Rodriguez +3
This work explores the application of hybrid quantum-classical algorithms to optimize robotic inspection trajectories derived from Computer-Aided Design (CAD) models in industrial…
Exploring the application of quantum technologies to industrial and real-world use cases
Eneko Osaba, Esther Villar-Rodriguez, Izaskun Oregi
Recent advancements in quantum computing are leading to an era of practical utility, enabling the tackling of increasingly complex problems. The goal of this era is to leverage qua…
Quantum Computing in Industrial Environments: Where Do We Stand and Where Are We Headed?
Eneko Osaba, Iñigo Perez Delgado, Alejandro Mata Ali +3
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:…