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Neural Networs: new models for recovering the Cosmic Microwave Background

Sede A. Riccò Via Santa Sofia 78, Catania

The Cosmic Microwave Background, the relic emission from the primordial Universe, is one of the most important observables in Cosmology. Its recovery is generally carried out by parametric and (semi) blind methods after removing several Galactic and extragalactic emissions. However, in order to take into account their non-linear behaviors, Machine Learning approaches such Neural Networks seem to be promising for that task. In this talk, I will describe how they begin to be an alternative and reliable methods for recovering the Cosmic Microwave Background.

Quantum Computing for Astrophysics and Cosmology: Opportunities and Challenges

Sede A. Riccò Via Santa Sofia 78, Catania

The rapid advancement of quantum computing technologies is opening new frontiers across various scientific disciplines. As quantum devices continue to evolve, investigating their potential to tackle complex computational problems in astrophysics and cosmology becomes essential.
In this seminar, I will present an overview of my recent research focused on the application of quantum computing and quantum machine learning techniques to astrophysical and cosmological problems. In particular, I will discuss the implementation and capabilities of quantum neural networks in analyzing astrophysical data, as well as the application of quantum Fourier transform in Cosmic Microwave Background data analysis.
The talk will highlight both the promising opportunities and the current limitations of these quantum approaches, providing a perspective on how quantum computing could contribute in data analysis and modeling in astrophysics in the near future.