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

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2023

Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing

Eneko Osaba, Gorka Benguria, Jesus L. Lobo +3

In the last years, one of the fields of artificial intelligence that has been investigated the most is nature-inspired computing. The research done on this specific topic showcases…

cs.AI2023

A Quantum Computing-based System for Portfolio Optimization using Future Asset Values and Automatic Reduction of the Investment Universe

Eneko Osaba, Guillaume Gelabert, Esther Villar-Rodriguez +2

One of the problems in quantitative finance that has received the most attention is the portfolio optimization problem. Regarding its solving, this problem has been approached usin…

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…

cs.LG2023

On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence

Jesus L. Lobo, Ibai Laña, Eneko Osaba +1

AI-based digital twins are at the leading edge of the Industry 4.0 revolution, which are technologically empowered by the Internet of Things and real-time data analysis. Informatio…

quant-ph20221 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…