The Density Matrix Renormalization Group for Strongly Correlated Electron Systems: A Generic Implementation
G. Alvarez

TL;DR
This paper introduces a flexible, fully functional implementation of the DMRG algorithm tailored for strongly correlated electron systems, emphasizing modularity, symmetry considerations, and parallelization for broad applicability.
Contribution
It presents a generic, extensible code framework for DMRG that simplifies adding new models and geometries with symmetry and parallelization support.
Findings
Efficient implementation of DMRG for various models
Support for Hamiltonian symmetries and parallelization
Facilitates research on strongly correlated electrons
Abstract
The purpose of this paper is (i) to present a generic and fully functional implementation of the density-matrix renormalization group (DMRG) algorithm, and (ii) to describe how to write additional strongly-correlated electron models and geometries by using templated classes. Besides considering general models and geometries, the code implements Hamiltonian symmetries in a generic way and parallelization over symmetry-related matrix blocks.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
