Theory-driven Quantum Machine Learning for HEP (Dr. Jack Araz, IPPP – Durham U.)

Quando:
Marzo 8, 2023@2:00 pm–3:00 pm
2023-03-08T14:00:00+00:00
2023-03-08T15:00:00+00:00
Dove:
Aula 603 e zoom

Seminario di Fenomenologia –

Machine Learning is, in most cases, powerful but a black-box application. In this talk, we will tackle this very problem from a quantum mechanics point of view, arguing that an optimisation problem, such as classification or anomaly detection, can be studied by “rephrasing” the problem as a quantum many-body system or a mixed state. Such an approach allows us to employ the entire arsenal of quantum theory for data analysis techniques while enabling exact representation for a quantum device. Hence this talk will present a small step towards fully theory-driven and interpretable quantum machine learning applications.

Per connettersi a zoom:—
Topic: Theory and Pheno seminars
https://infn-it.zoom.us/j/8573185271
Meeting ID: 857 318 5271