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Addressing the Minor-Embedding Problem in Quantum Annealing and Evaluating State-of-the-Art Algorithm Performance
Aitor Gomez-Tejedor, Eneko Osaba, Esther Villar-Rodriguez
This study addresses the minor-embedding problem, which involves mapping the variables of an Ising model onto a quantum annealing processor. The primary motivation stems from the o…
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…
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:…
Transfer of Knowledge through Reverse Annealing: A Preliminary Analysis of the Benefits and What to Share
Eneko Osaba, Esther Villar-Rodriguez
Being immersed in the NISQ-era, current quantum annealers present limitations for solving optimization problems efficiently. To mitigate these limitations, D-Wave Systems developed…