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20202025
most citedA Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems

407 citations · 569 across the 30 of their papers we have counts for

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13 papers · 1 filter

quant-ph2025★ 1 cited

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…

quant-ph2025

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…

quant-ph2025

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…

quant-ph2025★ 1 cited

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…

quant-ph2024★ 12 cited

QOPTLib: a Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems

Eneko Osaba, Esther Villar-Rodriguez

In this paper, we propose a quantum computing oriented benchmark for combinatorial optimization. This benchmark, coined as QOPTLib, is composed of 40 instances equally distributed…

quant-ph2024★ 17 cited

Quantum Optimization Methods for Satellite Mission Planning

Antón Makarov, Carlos Pérez-Herradón, Giacomo Franceschetto +5

Satellite mission planning for Earth observation satellites is a combinatorial optimization problem that consists of selecting the optimal subset of imaging requests, subject to co…

quant-ph2023

Hybrid classical-quantum computing: are we forgetting the classical part in the binomial?

Esther Villar-Rodriguez, Aitor Gomez-Tejedor, Eneko Osaba

The expectations arising from the latest achievements in the quantum computing field are causing that researchers coming from classical artificial intelligence to be fascinated by…

quant-ph2023★ 8 cited

Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing

Antón Makarov, Márcio M. Taddei, Eneko Osaba +3

Satellite image acquisition scheduling is a problem that is omnipresent in the earth observation field; its goal is to find the optimal subset of images to be taken during a given…

quant-ph2022★ 5 cited

Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States

Ruilin Liu, Sebastián V. Romero, Izaskun Oregi +3

Coherent states, known as displaced vacuum states, play an important role in quantum information processing, quantum machine learning,and quantum optics. In this article, two ways…

quant-ph2022★ 13 cited

Comparative Benchmark of a Quantum Algorithm for the Bin Packing Problem

Mikel Garcia-de-Andoin, Izaskun Oregi, Esther Villar-Rodriguez +2

The Bin Packing Problem (BPP) stands out as a paradigmatic combinatorial optimization problem in logistics. Quantum and hybrid quantum-classical algorithms are expected to show an…

quant-ph2022★ 1 cited

Analyzing the behaviour of D'WAVE quantum annealer: fine-tuning parameterization and tests with restrictive Hamiltonian formulations

Esther Villar-Rodriguez, Eneko Osaba, Izaskun Oregi

Despite being considered as the next frontier in computation, Quantum Computing is still in an early stage of development. Indeed, current commercial quantum computers suffer from…

quant-ph2022★ 16 cited

Hybrid Quantum-Classical Heuristic for the Bin Packing Problem

Mikel Garcia de Andoin, Eneko Osaba, Izaskun Oregi +2

Optimization problems is one of the most challenging applications of quantum computers, as well as one of the most relevants. As a consequence, it has attracted huge efforts to obt…

quant-ph2021★ 16 cited

Focusing on the Hybrid Quantum Computing -- Tabu Search Algorithm: new results on the Asymmetric Salesman Problem

Eneko Osaba, Esther Villar-Rodriguez, Izaskun Oregi +1

Quantum Computing is an emerging paradigm which is gathering a lot of popularity in the current scientific and technological community. Widely conceived as the next frontier of com…