Machine-learning based noise characterization and correction on neutral atoms NISQ devices

no code implementations • 27 Jun 2023 • Ettore Canonici, Stefano Martina, Riccardo Mengoni, Daniele Ottaviani, Filippo Caruso

Here, two approaches are proposed to characterize and correct noise parameters on neutral atoms NISQ devices.

Reinforcement Learning (RL)

Quantum median filter for Total Variation image denoising

no code implementations • 2 Dec 2022 • Simone De Santis, Damiana Lazzaro, Riccardo Mengoni, Serena Morigi

In this new computing paradigm, named quantum computing, researchers from all over the world are taking their first steps in designing quantum circuits for image processing, through a difficult process of knowledge transfer.

Image Denoising Transfer Learning

Computing Graph Edit Distance with Algorithms on Quantum Devices

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.

Facial Expression Recognition on a Quantum Computer

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.

BIG-bench Machine Learning Facial Expression Recognition +2