Exact Entanglement Studies of Strongly Correlated Systems: Role of Long-Range Interactions and Symmetries of the System
Shaon Sahoo, V. M. L. Durga Prasad Goli, S. Ramasesha, Diptiman Sen

TL;DR
This paper investigates how long-range interactions and symmetries influence bipartite entanglement in strongly correlated systems, explaining the effectiveness of DMRG and revealing entanglement behavior across energy states.
Contribution
It provides a detailed analysis of entanglement in models with long-range interactions and explores the role of symmetries, enhancing understanding of DMRG applicability and entanglement profiles.
Findings
Long-range interactions affect entanglement spectra significantly.
Symmetry properties influence entanglement characteristics.
Entanglement profiles vary across energy states and relate to density of states.
Abstract
We study the bipartite entanglement of strongly correlated systems using exact diagonalization techniques. In particular, we examine how the entanglement changes in the presence of long-range interactions by studying the Pariser-Parr-Pople model with long-range interactions. We compare the results for this model with those obtained for the Hubbard and Heisenberg models with short-range interactions. This study helps us to understand why the density matrix renormalization group (DMRG) technique is so successful even in the presence of long-range interactions. To better understand the behavior of long-range interactions and why the DMRG works well with it, we study the entanglement spectrum of the ground state and a few excited states of finite chains. We also investigate if the symmetry properties of a state vector have any significance in relation to its entanglement. Finally, we make…
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.
