Conveners
Afternoon session 2
- Fabio Aprile
- Francesco Marcone (Istituto Nazionale di Fisica Nucleare)
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Tiziano Zanzarella (Università degli studi di Torino, Istituto Nazionale di Fisica Nucleare)15/12/2025, 16:30
High-frequency gravitational waves may provide a unique signature for the existence of exotic physics. The lack of current and future gravitational-wave experiments sensitive at those frequencies leads to the need of employing different indirect techniques. Notably, one of the most promising ones is constituted by graviton-photon conversions in magnetic fields. Our research focuses on the...
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Mr Gaetano Salvemini15/12/2025, 16:42
In this talk, we will present a powerful protocol, employing the interaction between an electromagnetic field and a qubit, to identify genuinely non-classical states, and we will explain the assumptions underlying this protocol. To discriminate non-classical states from classical ones, we choose the Wigner function as our diagnostic tool.
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We will show how to analyze light–matter interaction... -
Rosa Lucia Capurso (Università degli Studi di Bari)15/12/2025, 16:54
Waveguide Quantum Electrodynamics (Waveguide QED) is a promising and versatile platform for studying fundamental light-matter interactions and quantum technology implementations. Notably, interesting effects emerge when two or more quantum emitters are coupled to the waveguide, including collective phenomena, e.g., superradiance and formation of bound states in the continuum (BICs).
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An... -
Lucio Mauro Carenza (Istituto Nazionale di Fisica Nucleare)15/12/2025, 17:06
We investigate a two-dimensional chiral fluid composed of Brownian disks interacting via a Lennard-Jones potential and subjected to a nonconservative transverse force, mimicking colloids spinning at a given rate.
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Focusing on the liquid phase, characterized by rotating hexatic patches, we demonstrate that increasing chiral activity modifies the system’s effective temperature. In the solid... -
Giuseppe D'Ambruoso (Politecnico di Bari)15/12/2025, 17:18
Machine learning permeates our everyday life, with applications ranging from disease diagnosis and environmental monitoring to fraud detection. Despite its successes, modern machine learning still faces major challenges, including the need for extensive computational resources, large training datasets, and a high number of trainable parameters. In recent years, an exciting avenue to overcome...
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Fulvia De Fazio (Istituto Nazionale di Fisica Nucleare)15/12/2025, 17:30