"Understanding The Learning Process Of Quantum Neural Networks", Postdoc, Florence, Italy

I am happy to announce the opening of a 12-month postdoc position (extendable) in Theoretical Physics of Matter at the Physics Department of the University of Florence, in the group of Prof. Leonardo Banchi. The position is funded by the PRIN project "Understanding the learning process of quantum neural networks", in collaboration with Giacomo De Palma (University of Bologna, Mathematics Department) and Dario Trevisan (University of Pisa, Mathematics Department).
Deadline: 29th April 2024
Summary: The research project will focus on theoretical and numerical techniques to understand the learning process of quantum neural networks using an interdisciplinary approach that connects quantum machine learning with probability theory and quantum many-body physics. Recent breakthrough results in classical machine learning found that in the mean-field limit of infinite width of the hidden layers, trained deep neural networks are equivalent to Gaussian processes. These results explained the unreasonably good performances of deep neural networks. The aim of this project is to generalize those results to the quantum setting.
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