A promising method for strongly correlated electrons in two dimensions: Gutzwiller-guided Density Matrix Renormalization Group
Abstract The study of strongly correlated electron systems remains a fundamental challenge in condensed matter physics, particularly in two-dimensional (2D) systems hosting various exotic phases of matter including quantum spin liquids, unconventional superconductivity, and topological orders. Although Density Matrix Renormalization Group (DMRG) has established itself as a pillar for simulating one-dimensional quantum systems, its application to 2D systems has long been hindered by the notorious “local minimum” issues. Recent methodological breakthroughs have addressed this challenge by incorporating Gutzwiller-projected wave functions as initial states for DMRG simulations. This hybrid approach, referred to as DMRG guided by Gutzwiller-projected wave functions (or Gutzwiller-guided DMRG), has demonstrated remarkable improvements in accuracy, efficiency, and the ability to explore exotic quantum phases such as topological orders. This review examines the theoretical underpinnings of this approach, details key algorithmic developments, and showcases its applications in recent studies of 2D quantum systems.
Authors
- Yi Zhou (ORCID: https://orcid.org/0000-0003-0423-7964)
- Hong-Hao Tu (ORCID: https://orcid.org/0000-0003-0047-6087)
- Hui-Ke Jin (ORCID: https://orcid.org/0000-0002-0880-6557)
- Rong-Yang Sun (ORCID: https://orcid.org/0000-0002-0514-6143)
Institutions
- Center for Theoretical Physics (PL)
- ShanghaiTech University (CN)
- RIKEN Center for Computational Science (JP)
- Institute of Physics (CN)
- RIKEN Nishina Center (JP)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- AAPPS bulletin
- Published
- 2025-06-27
- DOI
- https://doi.org/10.1007/s43673-025-00156-8
- Citations
- 3
- Primary Topic
- Advanced Condensed Matter Physics
- Type
- article
- Field-Weighted Citation Impact
- 3.77
Funders
- National Natural Science Foundation of China
- Key Technologies Research and Development Program