Stefano Carrazza
Introduction
My research:
Quantum Computing, Parton distributions, Perturbative QCD, Monte Carlo simulation, Machine Learning
My expertise is:
Quantum Computing, QCD, neural networks, Monte Carlo event generators
A problem I’m grappling with:
Develop Quantum Machine Learning models and Quantum Inspired algorithms for High-Energy Physics applications
I’ve got my eyes on:
Tensor networks compression of large neural networks
I want to know more about:
Efficient hardware acceleration inference for AI
Projects
New Generative Models for Parton Distributions
The goal of the project is to switch from the current situation, in which a hyperoptimized machine learning model leads to results whose accuracy is tested a posteriori, to interpretable models in which the relation between experimental, theoretical and modeling uncertainty and the uncertainties in the final outcome can be traced using explainable AI tools.
