Farida Farsian (Istituto Nazionale di Astrofisica): The perspective of Machine Learning and Quantum Machine Learning in Astrophysics

Monday 18 Mar 2024, 14:00 → 15:00 Europe/Stockholm

Title: The perspective of Machine Learning and Quantum Machine Learning in Astrophysics
Speaker: Farida Farsian
Affiliation: Istituto Nazionale di Astrofisica (INAF)
Time: Monday 18 March 2024, 1400 to 1500
Location: 2002 Å

 

Abstract: Astrophysics faces a significant challenge in managing the vast amounts of data generated by current and future cosmological and astrophysical surveys. To address this challenge, innovative methodologies, including Artificial Intelligence (AI) and Machine Learning (ML), must be employed to handle computationally expensive operations, automate processes, and extract unexplored data features and statistics.

In this presentation, I will share my experiences highlighting the imperative role of ML methods in specific fields I have worked on. These include the detection of primordial gravitational waves from the Cosmic Microwave Background and clustering information extraction from the Large Scale Structure. Subsequently, I will delve into a forward-looking perspective, emphasizing the futuristic application of ML methods with Quantum computers. I will discuss their potential and possible applications in astrophysics.