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The Logarithmic Linear Relaxation (LLR) algorithm is an efficient method for computing densities of states for systems with a continuous spectrum. A key feature of this method is exponential error reduction, which allows us to evaluate the…

高能物理 - 格点 · 物理学 2022-04-13 Biagio Lucini , Olmo Francesconi , Markus Holzmann , David Lancaster , Antonio Rago

Although Monte Carlo calculations using Importance Sampling have matured into the most widely employed method for determining first principle results in QCD, they spectacularly fail for theories with a sign problem or for which certain rare…

高能物理 - 格点 · 物理学 2017-01-25 Kurt Langfeld

Recently, a new and efficient algorithm (the LLR method) has been proposed for computing densities of states in statistical systems and gauge theories. In this talk, we explore whether this novel density of states method can be applied to…

高能物理 - 格点 · 物理学 2014-11-04 Biagio Lucini , Kurt Langfeld

An algorithm to calculate the density of states, based on the well-known Wang-Landau method, is introduced. Independent random walks are performed in different restricted ranges of energy, and the resultant density of states is modified by…

统计力学 · 物理学 2015-06-25 R. E. Belardinelli , V. D. Pereyra

During the last 40 years, Monte Carlo calculations based upon Importance Sampling have matured into the most widely employed method for determinig first principle results in QCD. Nevertheless, Importance Sampling leads to spectacular…

高能物理 - 格点 · 物理学 2016-07-21 Kurt Langfeld , Biagio Lucini

By using unbiased continuos-space quantum Monte Carlo simulations, we investigate the ground state properties of a one-dimensional repulsive Fermi gas subjected to a commensurate periodic optical lattice (OL) of arbitrary intensity. The…

量子气体 · 物理学 2017-08-23 Sebastiano Pilati , Luca Barbiero , Rosario Fazio , Luca Dell'Anna

The density of state approach has recently been proposed as a potential route to circumvent the sign problem in systems at finite density. In this study, using the Linear Logarithmic Relaxation (LLR) algorithm, we extract the generalised…

高能物理 - 格点 · 物理学 2020-01-22 Olmo Francesconi , Markus Holzmann , Biagio Lucini , Antonio Rago

The density of states of the two-dimensional fermionic Hubbard model in the perpendicular homogeneous magnetic field is calculated using the strong coupling diagram technique. The density of states at the Fermi level as a function of the…

强关联电子 · 物理学 2019-05-29 A. Sherman

We present modified Wang-Landau algorithm for models with continuous degrees of freedom. We demonstrate this algorithm with the calculation of the joint density of states $g(M,E)$ of ferromagnet Heisenberg models. The joint density of…

统计力学 · 物理学 2009-11-11 Chenggang Zhou , T. C. Schulthess , Stefan Torbrügge , D. P. Landau

The study of QFTs at finite density is hindered by the presence of the so-called sign problem. The action definition of such systems is, in fact, complex-valued making standard importance sampling Monte Carlo methods ineffective. In this…

高能物理 - 格点 · 物理学 2019-12-10 Olmo Francesconi , Markus Holzmann , Biagio Lucini , Antonio Rago , Jarno Rantaharju

We derive a formula that expresses the density of states of a system with continuous degrees of freedom as a function of microcanonical averages of squared gradient and Laplacian of the Hamiltonian. This result is then used to propose a…

统计力学 · 物理学 2023-12-01 Stefan Schnabel , Wolfhard Janke

Using Wang-landau algorithm combined with analytic method, the density of states of two dimensional XY model on square lattices of sizes $16\times16$, $24\times24$ and $32\times32$ is accurately calculated. Thermodynamic quantities, such as…

统计力学 · 物理学 2010-03-16 Jun Xu , H. R. Ma

We present a method for estimating the density of states of a classical statistical model. The algorithm successfully combines the Wang-Landau flat histogram method with the N-fold way in order to improve efficiency of the original single…

统计力学 · 物理学 2009-11-07 B. J. Schulz , K. Binder , M. Mueller

The formalism for exactly calculating the retarded and advanced Green's functions of strongly correlated lattice models in a uniform electric field is derived within dynamical mean-field theory. To illustrate the method, we solve for the…

强关联电子 · 物理学 2009-07-09 A. V. Joura , J. K. Freericks , Th. Pruschke

In this work we develop an implementation of the Wang--Landau algorithm [Phys. Rev. Lett. \textbf{86}, 2050-2053 (2001)]. This algorithm allows us to find the density of states (DOS), a function that, for a given system, describes the…

统计力学 · 物理学 2022-02-09 Felipe Moreno , Joaquín Peralta , Sergio Davis

In this work we present a theoretical analysis of the convergence of the Wang-Landau algorithm [Phys. Rev. Lett. 86, 2050 (2001)] which was introduced years ago to calculate the density of states in statistical models. We study the…

统计力学 · 物理学 2009-11-13 R. E. Belardinelli , V. D. Pereyra

A momentum-space approach of the density-matrix renormalization-group (DMRG) method is developed. Ground state energies of the Hubbard model are evaluated using this method and compared with exact diagonalization as well as quantum…

凝聚态物理 · 物理学 2009-10-28 T. Xiang

Approaches to the sign problem based on the density of states have been recently revived by the introduction of the LLR algorithm, which allows us to compute the density of states itself with exponential error reduction. In this work, after…

高能物理 - 格点 · 物理学 2019-01-25 Biagio Lucini , Olmo Francesconi , Markus Holzmann , Antonio Rago

We investigate the approach to the universal regime of the dilute unitary Fermi gas as the density is reduced to zero in a lattice model. To this end we study the chemical potential, superfluid order parameter and internal energy of the…

量子气体 · 物理学 2010-01-26 A. Privitera , M. Capone , C. Castellani

The half-filled Hubbard model on the Bethe lattice with coordination number $z=3$ is studied using the density-matrix renormalization group (DMRG) method. Ground-state properties such as the energy $E$, average local magnetization $<\hat…

强关联电子 · 物理学 2007-05-23 Marie-Bernadette Lepetit , Maixent Cousy , G. M. Pastor
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