Results 11 to 20 of about 23,025 (301)

Quantum-assisted Monte Carlo algorithms for fermions [PDF]

open access: yesQuantum, 2023
Quantum computing is a promising way to systematically solve the longstanding computational problem, the ground state of a many-body fermion system. Many efforts have been made to realise certain forms of quantum advantage in this problem, for instance ...
Xiaosi Xu, Ying Li
doaj   +1 more source

Antithetic Magnetic and Shadow Hamiltonian Monte Carlo

open access: yesIEEE Access, 2021
Hamiltonian Monte Carlo is a Markov Chain Monte Carlo method that has been widely applied to numerous posterior inference problems within the machine learning literature. Markov Chain Monte Carlo estimators have higher variance than classical Monte Carlo
Wilson Tsakane Mongwe   +2 more
doaj   +1 more source

Utilising Partial Momentum Refreshment in Separable Shadow Hamiltonian Hybrid Monte Carlo

open access: yesIEEE Access, 2021
Sampling using integrator-dependent shadow Hamiltonian’s has been shown to produce improved sampling properties relative to Hamiltonian Monte Carlo. The shadow Hamiltonian’s are typically non-separable, requiring the expensive generation of
Wilson Tsakane Mongwe   +2 more
doaj   +1 more source

The Ising model with Hybrid Monte Carlo [PDF]

open access: yesComputer Physics Communications, 2021
The Ising model is a simple statistical model for ferromagnetism. There are analytic solutions for low dimensions and very efficient Monte Carlo methods, such as cluster algorithms, for simulating this model in special cases. However most approaches do not generalise to arbitrary lattices and couplings.
Johann Ostmeyer   +4 more
openaire   +4 more sources

Compressible generalized hybrid Monte Carlo [PDF]

open access: yesThe Journal of Chemical Physics, 2014
One of the most demanding calculations is to generate random samples from a specified probability distribution (usually with an unknown normalizing prefactor) in a high-dimensional configuration space. One often has to resort to using a Markov chain Monte Carlo method, which converges only in the limit to the prescribed distribution.
Fang, Youhan   +2 more
openaire   +3 more sources

Hybrid Monte Carlo without pseudofermions [PDF]

open access: yesNuclear Physics B - Proceedings Supplements, 1997
4 pages, Latex, 3 ps figures.
Liu, K. F., Dong, S. J., Thron, C.
openaire   +2 more sources

A polynomial hybrid Monte Carlo algorithm [PDF]

open access: yesPhysics Letters B, 1997
We present a simulation algorithm for dynamical fermions that combines the multiboson technique with the Hybrid Monte Carlo algorithm. We find that the algorithm gives a substantial gain over the standard methods in practical simulations. We point out the ability of the algorithm to treat fermion zeromodes in a clean and controllable manner.
Frezzotti, Roberto, Jansen, Karl
openaire   +3 more sources

Cluster hybrid Monte Carlo simulation algorithms [PDF]

open access: yesPhysical Review E, 2002
16 pages, 10 ...
Plascak, J. A.   +2 more
openaire   +3 more sources

Application of hybrid multispin Monte Carlo method to artificial dipole ice on hexagonal and Cairo lattices

open access: yesSt. Petersburg Polytechnical University Journal: Physics and Mathematics, 2022
We apply the hybrid multispin Monte Carlo method to calculate the properties for artificial dipole ice on hexagonal and Cairo lattices. The method is based on combining a random selection of a set of spins (cluster) using the Monte Carlo with complete ...
Makarova Kseniia   +2 more
doaj   +1 more source

APPLICATION OF RESPONSE MATRIX METHOD TO TRANSIENT SIMULATIONS OF NUCLEAR SYSTEMS [PDF]

open access: yesEPJ Web of Conferences, 2021
Until recently, reactor transient problems were exclusively solved by approximate deterministic methods. The increase in available computing power made it feasible to approach the transient analyses with time-dependent Monte Carlo methods.
Mickus Ignas   +2 more
doaj   +1 more source

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