scholarly journals Higher order hybrid Monte Carlo at finite temperature

2002 ◽  
Vol 540 (1-2) ◽  
pp. 159-165 ◽  
Author(s):  
Tetsuya Takaishi
Keyword(s):  
Monte Carlo ◽  
Finite Temperature ◽  
Higher Order ◽  
Hybrid Monte Carlo

Higher-order hybrid Monte Carlo algorithms

1989 ◽  
Vol 63 (1) ◽  
pp. 9-12 ◽  
Author(s):  
Michael Creutz ◽  
Andreas Gocksch
Keyword(s):  
Monte Carlo ◽  
Higher Order ◽  
Hybrid Monte Carlo ◽  
Monte Carlo Algorithms

scholarly journals An update on the BQCD Hybrid Monte Carlo program

2018 ◽  
Vol 175 ◽  
pp. 14011 ◽  
Author(s):  
Taylor Ryan Haar ◽  
Yoshifumi Nakamura ◽  
Hinnerk Stüben
Keyword(s):  
Monte Carlo ◽  
Finite Temperature ◽  
Chemical Potential ◽  
Integration Scheme ◽  
Matrix Elements ◽  
Monte Carlo Program ◽  
Hybrid Monte Carlo ◽  
Main Production ◽  
Flexible Integration ◽  
Polynomial Filtering

We present an update of BQCD, our Hybrid Monte Carlo program for simulating lattice QCD. BQCD is one of the main production codes of the QCDSF collaboration and is used by CSSM and in some Japanese finite temperature and finite density projects. Since the first publication of the code at Lattice 2010 the program has been extended in various ways. New features of the code include: dynamical QED, action modification in order to compute matrix elements by using Feynman-Hellman theory, more trace measurements (like Tr(D-n) for K, cSW and chemical potential reweighting), a more flexible integration scheme, polynomial filtering, term-splitting for RHMC, and a portable implementation of performance critical parts employing SIMD.

The QCD finite temperature transition and hybrid Monte Carlo

1989 ◽  
Vol 313 (2) ◽  
pp. 348-376 ◽  
Author(s):  
Khalil Bitar ◽  
A.D. Kennedy ◽  
Roger Horsley ◽  
Steffen Meyer ◽  
Pietro Rossi
Keyword(s):  
Monte Carlo ◽  
Finite Temperature ◽  
Temperature Transition ◽  
Hybrid Monte Carlo

scholarly journals Number of Magic Squares from Parallel Tempering Monte Carlo

1998 ◽  
Vol 09 (04) ◽  
pp. 541-546 ◽  
Author(s):  
K. Pinn ◽  
C. Wieczerkowski
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Low Temperature ◽  
Finite Temperature ◽  
Ground States ◽  
Higher Order ◽  
Parallel Tempering ◽  
Energy Barriers ◽  
Magic Squares

There are 880 magic squares of size 4 by 4, and 275 305 224 of size 5 by 5. It seems very difficult if not impossible to count exactly the number of higher order magic squares. We propose a method to estimate these numbers by Monte Carlo simulating magic squares at finite temperature. One is led to perform low temperature simulations of a system with many ground states that are separated by energy barriers. The Parallel Tempering Monte Carlo method turns out to be of great help here. Our estimate for the number of 6 by 6 magic squares is (0.17745± 0.00016)×1020.

scholarly journals The Ising model with Hybrid Monte Carlo

2021 ◽  
Vol 265 ◽  
pp. 107978
Author(s):  
Johann Ostmeyer ◽  
Evan Berkowitz ◽  
Thomas Luu ◽  
Marcus Petschlies ◽  
Ferenc Pittler
Keyword(s):  
Monte Carlo ◽  
Ising Model ◽  
Hybrid Monte Carlo

scholarly journals Testing a Fourier-accelerated hybrid Monte Carlo algorithm

2002 ◽  
Vol 528 (3-4) ◽  
pp. 301-305 ◽  
Author(s):  
Simon Catterall ◽  
Sergey Karamov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Algorithm ◽  
Hybrid Monte Carlo
Sign in / Sign up

Export Citation Format

Share Document