research
∙
02/10/2022
Applications of Machine Learning to Lattice Quantum Field Theory
There is great potential to apply machine learning in the area of numeri...
share
research
∙
10/21/2021
Quantum field theories, Markov random fields and machine learning
The transition to Euclidean space and the discretization of quantum fiel...
research
∙
09/22/2021
Quantitative analysis of phase transitions in two-dimensional XY models using persistent homology
We use persistent homology and persistence images as an observable of th...
research
∙
09/16/2021
Machine learning with quantum field theories
The precise equivalence between discretized Euclidean field theories and...
research
∙
02/18/2021
