Workshop on Tensor Networks and (Quantum) Machine Learning for High-Energy Physics

Session

Tensor Networks and Neural Networks

4 Nov 2024, 15:00

4/3-006 - TH Conference Room (CERN)

4. Boosting applications in nuclear physics via recent advances in tensor network state methods

Ors Legeza

04/11/2024, 15:00

Recently we have proposed combination of the valence-space in-medium similarity renormalization group (VS-IMSRG) with the density matrix renormalization group (DMRG) offering a scalable and flexible many-body approach for strongly correlated open-shell nuclei. Combined with an analysis of quantum information measures, this further establishes the VS-DMRG as a valuable method for ab initio...

5. Quantum Machine Learning: A Computer Science and Engineering Perspective

Elias Fernandez-Combarro

04/11/2024, 16:30

Quantum Machine Learning is a promising new field that joins quantum computing and machine learning to obtain computational advantages in learning from data. As such, there are plenty of opportunities but also challenges in the short and medium term. In this talk, we will address some of them from the point of view of computer science and engineering, with examples and lessons learned from...

6. Discussion: Accelerating Calculations with Specialized Hardware (TPUs, GPUs) for QML and TN

04/11/2024, 17:30