Difference between revisions of "ALPS 2 Tutorials:Overview"

ALPS tutorials

General introduction to running simulations using ALPS

• Running and evaluating simulations using ALPS
  • Using the command line (with limited evaluation tools)
  • Using Python
  • Using the provenance-enabled Vistrails workflow system
• Definition of lattices
• Definition of models
• Definition of custom measurements
• Common parameters
• Common hardcoded measurements
• The tools

Monte Carlo simulations

• MC-01 Classical Monte Carlo simulations and autocorrelations
• MC-02 Calculating magnetic susceptibilities by the classical MC and looper QMC codes
• MC-03 Calculating magnetization curves by the directed loop QMC code
• MC-04 Custom measurements in the QMC codes
• MC-05 Simulating the Bose-Hubbard model using the worm QMC code
• MC-06 Extended ensemble simulations (Quantum Wang-Landau)
• MC-07 Phase transition in the Ising model
• MC-08 Quantum phase transition in a quantum spin model
• MC-09 Simulating the Bose-Hubbard model using Directed-Worm-Algorithm (DWA) code
• Comments: Which QMC code should you choose for your problem?

Exact diagonalization

• ED-01 Sparse Diagonalization (Lanczos)
• ED-02 Spin gaps of 1D quantum systems
• ED-03 Spectra of 1D quantum systems
• ED-04 Conformal field theory description of 1D critical spectra
• ED-05 Phase transition in a frustrated spin chain
• ED-06 Full Diagonalization

Density Matrix Renormalization Group (DMRG)

• DMRG-01 Density Matrix Renormalization Group Introduction
• DMRG-02 Calculating gaps
• DMRG-03 Calculating local observables
• DMRG-04 Calculating correlations

Dynamical Mean Field Theory (DMFT) solvers

• DMFT-01 An introduction to DMFT
• DMFT-02 CT-HYB: the CT-HYB QMC solver
• DMFT-03 CT-INT: the CT-INT QMC solver
• DMFT-04 Mott Transition
• DMFT-05 Orbitally Selective Mott Transition
• DMFT-06 Paramagnetic metal
• DMFT-07 The Hirsch-Fye solver
• DMFT-08 Setting a particular lattice

Time-Evolving Block Decimation (TEBD)

• TEBD-01 Quenches in the hardcore boson model
• TEBD-02 Time Evolution of a domain wall in the XX model

ALPS examples

The ALPS examples section provide examples of real simulations, which require more computing resources to run.

Dynamical Mean Field Theory (DMFT) solvers

• Néel transition in single site DMFT
• Paramagnetic metal and extrapolation errors

ALPS code development tutorials

• Using the ALPS libraries in your projects.
• Code-01: A tutorial on writing a simple simulation using the Alea library and ALPS file formats in Python.
• Code-02: A tutorial on writing a simple simulation using the Alea library and ALPS file formats in C++.
• Code-03: A tutorial on writing a simple simulation in Vistrails using a Python source module.
• Code-04: A tutorial on writing a simple simulation package in Vistrails.
• Code-05: A tutorial on writing a simulation package in Vistrails that uses ALPS modules.
• Code-06: Writing a Monte Carlo simulation using the ALPS scheduler and libraries
• The Alea library for Monte Carlo measurements

ALPSize tutorial

How to 'alpsize' your application program written in C, C++, or Fortran step by step. It easily becomes possible to use ALPS functionalities, such as Parameters and Alea, as well as ALPS scheduler by packaging with CMake and setting the link with the ALPS library.

• ALPSize
• Alpsize-01: Packaging by using CMake.
• Alpsize-02: An example of simplest Wolff cluster update written in C.
• Alpsize-03: A tutorial for writing a program in C++.
• Alpsize-04: A tutorial for using C++ Standard Template Library.
• Alpsize-05: A tutorial for using Boost C++ library.
• Alpsize-06: A tutorial for using ALPS/parameters library.
• Alpsize-07: A tutorial for using ALPS/alea library.
• Alpsize-08: A tutorial for using ALPS/lattice library.
• Alpsize-09: A tutorial for using ALPS/parapack scheduler.
• Alpsize-10: A brief introduction how to compile your Fortran application with ALPS/parapack scheduler.
• Alpsize-11: A tutorial for using ALPS/parapack scheduler from your Fortran application.