154 citations · 360 across the 8 of their papers we have counts for
8 papers
An approach to interfacing the brain with quantum computers: practical steps and caveats
Eduardo Reck Miranda, Satvik Venkatesh, Jose D. Martın-Guerrero +3
We report on the first proof-of-concept system demonstrating how one can control a qubit with mental activity. We developed a method to encode neural correlates of mental activity…
Quantum Stream Learning
Yongcheng Ding, Xi Chen, Rafael Magdalena-Benedicto +1
The exotic nature of quantum mechanics makes machine learning (ML) be different in the quantum realm compared to classical applications. ML can be used for knowledge discovery usin…
Towards Pricing Financial Derivatives with an IBM Quantum Computer
Ana Martin, Bruno Candelas, Ángel Rodríguez-Rozas +6
Pricing interest-rate financial derivatives is a major problem in finance, in which it is crucial to accurately reproduce the time-evolution of interest rates. Several stochastic d…
Towards Prediction of Financial Crashes with a D-Wave Quantum Computer
Yongcheng Ding, Javier Gonzalez-Conde, Lucas Lamata +7
Prediction of financial crashes in a complex financial network is known to be an NP-hard problem, which means that no known algorithm can guarantee to find optimal solutions effici…
Machine learning method for single trajectory characterization
Gorka Muñoz-Gil, Miguel Angel Garcia-March, Carlo Manzo +2
In order to study transport in complex environments, it is extremely important to determine the physical mechanism underlying diffusion, and precisely characterize its nature and p…
A Probabilistic framework for Quantum Clustering
Raúl V. Casaña-Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell +2
Quantum Clustering is a powerful method to detect clusters in data with mixed density. However, it is very sensitive to a length parameter that is inherent to the Schrödinger equat…
Supervised Quantum Learning without Measurements
Unai Alvarez-Rodriguez, Lucas Lamata, Pablo Escandell-Montero +2
We propose a quantum machine learning algorithm for efficiently solving a class of problems encoded in quantum controlled unitary operations. The central physical mechanism of the…
Optimization of anemia treatment in hemodialysis patients via reinforcement learning
Pablo Escandell-Montero, Milena Chermisi, José M. Martínez-Martínez +8
Objective: Anemia is a frequent comorbidity in hemodialysis patients that can be successfully treated by administering erythropoiesis-stimulating agents (ESAs). ESAs dosing is curr…