5 papers
Stable Determinant Monte Carlo Simulations at Large Inverse Temperature
Thomas Luu, Johann Ostmeyer, Petar Sinilkov +1
At low temperatures where the naïve implementation of determinant quantum Monte Carlo (DQMC) methods suffers from loss of precision and numerical instabilities when…
Hamiltonian Monte Carlo enhanced by Exact Diagonalization
Finn L. Temmen, Martina Gisti, David J. Luitz +2
Strongly correlated fermionic systems are of great interest in condensed matter physics and numerical methods are indispensable tools for their study. However, existing approaches…
Fully ergodic simulations using radial updates
Finn L. Temmen, Evan Berkowitz, Anthony Kennedy +3
A sensible application of the Hybrid Monte Carlo (HMC) method is often hindered by the presence of large - or even infinite - potential barriers. These potential barriers separate…
Super-Resolving Normalising Flows for Lattice Field Theories
Marc Bauer, Renzo Kapust, Jan M. Pawlowski +1
We propose a renormalisation group inspired normalising flow that combines benefits from traditional Markov chain Monte Carlo methods and standard normalising flows to sample latti…
Overcoming Ergodicity Problems of the Hybrid Monte Carlo Method using Radial Updates
Finn Temmen, Evan Berkowitz, Anthony Kennedy +3
Despite its many advantages, the sensible application of the Hybrid Monte Carlo (HMC) method is often hindered by the presence of large - or even infinite - potential barriers. The…