Name: Workshop on Tensor Networks and (Quantum) Machine Learning for High-Energy Physics
Start: 2024-11-04T09:00:00+01:00
End: 2024-11-05T17:30:00+01:00
Location: CERN

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

from Monday 4 November 2024 (09:00) to Tuesday 5 November 2024 (17:30)

Monday 4 November 2024
09:00
09:00 - 13:05
Room: 4/3-006 - TH Conference Room
Contributions

10:00 Welcome and introduction - Michelangelo Mangano (CERN)

10:05 Quantum Machine Learning Integration in the High Energy Physics Pipeline - Michele Grossi (CERN)

11:05 TNS and the simulation of Lattice Gauge Theories - Mari Carmen Bañuls

12:05 Discussion: Utilizing QML Algorithms within Tensor Networks
13:00 Lunch break
Lunch break
13:00 - 15:00
Room: 4/3-006 - TH Conference Room
15:00
15:00 - 18:30
Room: 4/3-006 - TH Conference Room
Contributions

15:00 Boosting applications in nuclear physics via recent advances in tensor network state methods - Ors Legeza

16:30 Quantum Machine Learning: A Computer Science and Engineering Perspective - Elias Fernandez-Combarro

17:30 Discussion: Accelerating Calculations with Specialized Hardware (TPUs, GPUs) for QML and TN
18:30 Welcome drink
Welcome drink
18:30 - 20:00
Room: 61/1-201 - Pas perdus - Not a meeting room -
Tuesday 5 November 2024
09:00
09:00 - 13:20
Room: 4/3-006 - TH Conference Room
Contributions

09:00 Tensor network algorithms for HEP quantum simulation - Simone Montangero (Padova University)

09:45 Optimising Tree Tensor Networks for classification on hardware accelerators - Alberto Coppi

10:05 Tree Tensor Network implementation on FPGA - Lorenzo Borella (Universita e INFN, Padova (IT))

11:00 Provable exponential quantum advantages in learning from physics data - Vedran Dunjko

12:00 Discussion: Using Tensor Networks to Enhance QML Algorithms

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