Source code: https://github.com/simple-dmrg/simple-dmrg/

Documentation: http://simple-dmrg.readthedocs.org/

The goal of this tutorial (given at the 2013 summer school on quantum spin liquids, in Trieste, Italy) is to present the density-matrix renormalization group (DMRG) in its traditional formulation (i.e. without using matrix product states). DMRG is a numerical method that allows for the efficient simulation of quantum model Hamiltonians. Since it is a low-entanglement approximation, it often works quite well for one-dimensional systems, giving results that are nearly exact.

Typical implementations of DMRG in C++ or Fortran can be tens of
thousands of lines long. Here, we have attempted to strike a balance
between clear, simple code, and including many features and
optimizations that would exist in a production code. One thing that
helps with this is the use of Python. We
have tried to write the code in a very explicit style, hoping that it
will be (mostly) understandable to somebody new to Python. (See also
the included *Python cheatsheet*, which lists
many of the Python features used by `simple-dmrg`, and which should
be helpful when trying the included *exercises*.)

The four modules build up DMRG from its simplest implementation to more complex implementations and optimizations. Each file adds lines of code and complexity compared with the previous version.

*Infinite system algorithm*(~180 lines, including comments)*Finite system algorithm*(~240 lines)*Conserved quantum numbers*(~310 lines)*Eigenstate prediction*(~370 lines)

Throughout the tutorial, we focus on the spin-1/2 Heisenberg XXZ model, but the code could easily be modified (or expanded) to work with other models.

- James R. Garrison (UCSB)
- Ryan V. Mishmash (UCSB)

Licensed under the MIT license. If you plan to publish work based on this code, please contact us to find out how to cite us.

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