We test a recent proposal to use approximate trivializing maps in a field theory to speed up Hybrid Monte Carlo simulations. Simulating the CPN−1model, we find a small improvement with the leading order transformation, which is however compensated by the additional compu-tational overhead. The scaling of the algorithm towards the continuum is not changed. In particular, the effect of the topological modes on the autocorrelation times is studied.
SUMMARY We address a long standing issue and determine the decorrelation efficiency of the Hybrid ...
We propose a modification of the Hybrid Monte Carlo (HMC) algorithm that overcomes the topological f...
We introduce a new Monte Carlo method for pure gauge theories. It is not intended for use with dynam...
AbstractWe test a recent proposal to use approximate trivializing maps in a field theory to speed up...
We test a recent proposal to use approximate trivializing maps in a field theory to speed up Hybrid ...
The recent introduction of machine learning techniques, especially normalizing flows, for the sampli...
We investigate the performance of the hybrid Monte Carlo algorithm in updating non-trivial global to...
We present the preliminary tests on two modifications of the Hybrid Monte Carlo (HMC) algorithm. Bot...
We investigate the performance of the hybrid Monte Carlo algorithm, the standard algorithm used for ...
Simulations of QCD suffer from severe critical slowing down towards the continuum limit. This proble...
AbstractWe describe a Fourier-accelerated hybrid Monte Carlo algorithm suitable for dynamical fermio...
We describe a Fourier Accelerated Hybrid Monte Carlo algorithm suitable for dynamical fermion simula...
Some aspects of the dynamical critical behaviour of the Hybrid Monte Carlo algorithm are reported. S...
An algorithm for separating the high- and low-frequency molecular dynamics modes in Hybrid Monte Car...
Particles like protons and neutrons, are constructed from smaller particles called gluons and quarks...
SUMMARY We address a long standing issue and determine the decorrelation efficiency of the Hybrid ...
We propose a modification of the Hybrid Monte Carlo (HMC) algorithm that overcomes the topological f...
We introduce a new Monte Carlo method for pure gauge theories. It is not intended for use with dynam...
AbstractWe test a recent proposal to use approximate trivializing maps in a field theory to speed up...
We test a recent proposal to use approximate trivializing maps in a field theory to speed up Hybrid ...
The recent introduction of machine learning techniques, especially normalizing flows, for the sampli...
We investigate the performance of the hybrid Monte Carlo algorithm in updating non-trivial global to...
We present the preliminary tests on two modifications of the Hybrid Monte Carlo (HMC) algorithm. Bot...
We investigate the performance of the hybrid Monte Carlo algorithm, the standard algorithm used for ...
Simulations of QCD suffer from severe critical slowing down towards the continuum limit. This proble...
AbstractWe describe a Fourier-accelerated hybrid Monte Carlo algorithm suitable for dynamical fermio...
We describe a Fourier Accelerated Hybrid Monte Carlo algorithm suitable for dynamical fermion simula...
Some aspects of the dynamical critical behaviour of the Hybrid Monte Carlo algorithm are reported. S...
An algorithm for separating the high- and low-frequency molecular dynamics modes in Hybrid Monte Car...
Particles like protons and neutrons, are constructed from smaller particles called gluons and quarks...
SUMMARY We address a long standing issue and determine the decorrelation efficiency of the Hybrid ...
We propose a modification of the Hybrid Monte Carlo (HMC) algorithm that overcomes the topological f...
We introduce a new Monte Carlo method for pure gauge theories. It is not intended for use with dynam...