AD-PEPS documentation

The AD-PEPS Python package is intended as a example of an implementation of iPEPS ground-state and excited-state algorithms using Automatic Differentiation, as described in <paper> As such, the code is meant to illustrate the workings of the algorithms described the paper. For real applications, this code would likely need to be further adapted and optimized, however the package is a complete implementation and can directly be used for simple calculations.

• Installation
  • Method 1 (recommended): conda
  • Method 2: pip
• Getting Started
  • General
  • Ground states
    • Positional Arguments
  • Excited states
    • Positional Arguments
    • Named Arguments
• Example: ground state
• Example: excitations

Reference

ipeps.ipeps	iPEPS module for optimization with CTM
ipeps.config	Configuration module for iPEPS simulations
ipeps.ctm	Main CTM code
ipeps.models	Contains all models defined by Hamiltonians as part of this module
simulation	Module with executable scripts for running the simulations
utils	Utilities module with several convenience functions and classes used during the simulations

Indices and tables

• Index

• Module Index

• Search Page