Data inizio

16/06/2022 08:30

Data fine

16/06/2022 10:30

Luogo

Dipartimento di Fisica - A605

Relatori

Dr. Michele Grossi
CERN, Ginevra

We are at an exciting inflection point in quantum computing. The disciplines of quantum physics and quantum information science are mature to the point of producing several practical algorithms, and today’s quantum computers can provide a concrete implementation with which we can explore the possibilities of these techniques. Thanks to its role in HEP and more broadly in European and international scientific research, CERN has compelling requirements for its future instruments and infrastructures. Quantum computing is poised to potentially have an impact on machine learning methods.

In this seminar, we will cover the current state and prospects of machine learning with quantum computers. This includes algorithms and models such as implicit and explicit models, quantum generative-adversarial networks. We will touchbase some of our recent application of QC beyond HEP.