Quantum Applications Workshop 2026

Session

Machine Learning & Quantum Machine Learning

27 Feb 2026, 14:30

Lecture hall 5

4. Quantum machine learning for High Energy Physics

Lorenzo Sestini (Istituto Nazionale di Fisica Nucleare)

27/02/2026, 14:30

Oral

In this talk, an overview of quantum machine learning (QML) activities developed within the LHC experiments will be presented, with particular emphasis on their applications to reconstruction, classification and simulation tasks. Examples include the jet flavour identification as well as quantum generative models aimed at accelerating the detector simulations. It will be shown how quantum...

18. Variational quantum circuits: quantum convolutional neural network and quantum GAN

Roberto Cappuccio (Istituto Nazionale di Fisica Nucleare)

27/02/2026, 14:55

Oral

Variational quantum circuits (VQCs) are among the most promising frameworks for near-term quantum computing, offering a flexible and hardware-efficient approach to leveraging current noisy intermediate-scale quantum (NISQ) devices. In this talk, we provide a structured overview of VQC architecture, discussing its key building blocks: the data encoding stage, which embeds classical information...