no code implementations • 14 Jul 2023 • Massimiliano Incudini, Francesco Martini, Alessandra Di Pierro
Topological data analysis (TDA) has emerged as a powerful tool for extracting meaningful insights from complex data.
no code implementations • 22 Dec 2022 • Massimiliano Incudini, Michele Grossi, Antonio Mandarino, Sofia Vallecorsa, Alessandra Di Pierro, David Windridge
A key issue is how to address the inherent non-linearity of classical deep learning, a problem in the quantum domain due to the fact that the composition of an arbitrary number of quantum gates, consisting of a series of sequential unitary transformations, is intrinsically linear.
1 code implementation • 22 Sep 2022 • Massimiliano Incudini, Daniele Lizzio Bosco, Francesco Martini, Michele Grossi, Giuseppe Serra, Alessandra Di Pierro
Quantum computing can empower machine learning models by enabling kernel machines to leverage quantum kernels for representing similarity measures between data.
no code implementations • 19 Nov 2021 • Massimiliano Incudini, Fabio Tarocco, Riccardo Mengoni, Alessandra Di Pierro, Antonio Mandarino
Distance measures provide the foundation for many popular algorithms in Machine Learning and Pattern Recognition.
no code implementations • 9 Feb 2021 • Riccardo Mengoni, Massimiliano Incudini, Alessandra Di Pierro
We address the problem of facial expression recognition and show a possible solution using a quantum machine learning approach.