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09/10/2023
Machine Learning for maximizing the memristivity of single and coupled quantum memristors
We propose machine learning (ML) methods to characterize the memristive ...
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09/08/2023
Physics-Informed Neural Networks for an optimal counterdiabatic quantum computation
We introduce a novel methodology that leverages the strength of Physics-...
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07/08/2023
Active Learning in Physics: From 101, to Progress, and Perspective
Active Learning (AL) is a family of machine learning (ML) algorithms tha...
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12/13/2021
Quantum Stream Learning
The exotic nature of quantum mechanics makes machine learning (ML) be di...
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03/23/2021
Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Images
The emergence of multi-parametric magnetic resonance imaging (mpMRI) has...
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03/07/2019
Machine learning method for single trajectory characterization
In order to study transport in complex environments, it is extremely imp...
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02/14/2019
A Probabilistic framework for Quantum Clustering
Quantum Clustering is a powerful method to detect clusters in data with ...
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12/16/2016
Supervised Quantum Learning without Measurements
We propose a quantum machine learning algorithm for efficiently solving ...
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09/14/2015
