Seminar: The perspective of Machine Learning and Quantum Machine Learning in Astrophysics

  • Date: 18 March 2024, 14:00–15:00
  • Location: Ångström Laboratory, 2002 Å and Zoom: https://uu-se.zoom.us/j/65129261212.
  • Type: Seminar
  • Lecturer: Farida Farsian, Istituto Nazionale di Astrofisica (INAF)
  • Organiser: Division of Astronomy and Space Physics, Department of Physics and Astronomy
  • Contact person: Adam Rains


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.

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We shall leave for lunch at around 12:15. There will be fika after the seminar.

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