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02/09/2022
Noise fingerprints in quantum computers: Machine learning software tools
In this paper we present the high-level functionalities of a quantum-cla...
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02/09/2022
Recurrent Spectral Network (RSN): shaping the basin of attraction of a discrete map to reach automated classification
A novel strategy to automated classification is introduced which exploit...
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01/18/2022
Network-based link prediction of scientific concepts – a Science4Cast competition entry
We report on a model built to predict links in a complex network of scie...
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09/23/2021
Learning the noise fingerprint of quantum devices
Noise sources unavoidably affect any quantum technological device. Noise...
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08/22/2021
New Trends in Quantum Machine Learning
Here we will give a perspective on new possible interplays between Machi...
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06/17/2021
On the training of sparse and dense deep neural networks: less parameters, same performance
Deep neural networks can be trained in reciprocal space, by acting on th...
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05/29/2020
Machine learning in spectral domain
Deep neural networks are usually trained in the space of the nodes, by a...
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12/04/2019
A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers
The development of quantum-classical hybrid (QCH) algorithms is critical...
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08/26/2019
