Speaker
Eric Ballabene
(Istituto Nazionale di Fisica Nucleare)
Description
This talk investigates the application of Quantum Machine Learning (QML) simulated algorithms to classification problems in High Energy Physics, where distinguishing signal events from complex background processes is essential. We focus on the Higgs boson decay channel 𝐻→𝑍𝑍*→4ℓ, a clean yet statistically limited signature. The study evaluates the performance of QML models and examines their potential benefits in comparison to state-of-the-art classical machine learning approaches.
| Sessions | Quantum Machine Learning: |
|---|---|
| Invited | No |
Author
Eric Ballabene
(Istituto Nazionale di Fisica Nucleare)