Quantum Technology Initiative Journal Club

Thursday 10 Oct 2024, 16:00 → 17:00 Europe/Zurich

513/R-070 - Openlab Space (CERN)

Michele Grossi (CERN)

Weekly Journal Club meetings organised in the framework of the CERN Quantum Technology Initiative (QTI) to present and discuss scientific papers in the field of quantum science and technology. The goal is to help researchers keep track of current findings and walk away with ideas for their own research. Some previous knowledge of quantum physics would be helpful, but is not required to follow the talks.

To propose a paper for discussion, contact: michele.grossi@cern.ch

16:00 → 17:00 CERN QTI Journal CLUB: TITLE

Convener: Dr Michele Grossi (CERN)

16:00 Jogi Suda Neto (São Paulo State University (UNESP)

TITLE: equivariant quantum machine learning and the quest for symmetry discovery at high energies

ABSTRACT:
inding signatures of new physics in particle colliders often involves discriminating anomalous signals against conventional backgrounds. On the other hand, recent works have shown plenty of evidence that quantum machine learning (QML) models that have no inductive biases suffer from poor trainability and lack of generalization. Aiming at data efficiency and symmetry-preserving properties, we develop a Lie-equivariant quantum graph neural network (Lie-EQGNN) for jet tagging. Since Lorentz group equivariance has been shown to be beneficial for this task, we apply Lie-EQGNN for quark-gluon jet discrimination and show its performance is on par with its classical state-of-the-art counterpart Lorentznet.

Speaker: Jodi Suda Neto (São Paulo State University (UNESP))

recording