2 papers
hep-lat2020
Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models
Kim A. Nicoli, Christopher J. Anders, Lena Funcke +5
In this work, we demonstrate that applying deep generative machine learning models for lattice field theory is a promising route for solving problems where Markov Chain Monte Carlo…
quant-ph2018
Zeta-regularized vacuum expectation values
Tobias Hartung, Karl Jansen
It has recently been shown that vacuum expectation values and Feynman path integrals can be regularized using Fourier integral operator -function, yet the physical meaning of th…