CPT

Calendar of Physics Talks Vienna

Machine learning approach to duality in statistical physics
Speaker:Nabil Iqbal (Durham University)
Abstract:A duality arises when a given physical system has two different mathematical representations. In this talk I will discuss the possibility of using modern machine learning methods to find dualities in statistical physics. Establishing a duality in lattice statistical mechanics models requires the construction of a dual Hamiltonian and a map from the original to the dual observables. By using simple neural networks to parameterize these maps and introducing a loss function that penalises the difference between correlation functions in original and dual models, the process of duality discovery can be formulated as an optimization problem. I will introduce the required concepts from machine learning and show how to solve this problem numerically for the 2d Ising model and some variants. I will also discuss the prospects of finding new dualities using such methods.
Date: Tue, 07.01.2025
Time: 14:00
Duration: 60 min
Location:online on Zoom
Contact:S. Fredenhagen, M. Sperling

Spin qubits in diamond
Speaker:Fedor Jelezko (Universität Ulm)
Abstract:folgt
Date: Fri, 10.01.2025
Time: 10:00
Duration: 45 min
Location:Helmut Rauch Lecture Hall
Contact:Tomas Sikorsky