Stripe and superconducting order competing in the Hubbard model on a square lattice studied by a combined variational Monte Carlo and tensor network method
Andrew S. Darmawan, Yusuke Nomura, Youhei Yamaji, Masatoshi Imada

TL;DR
This study uses advanced numerical methods to map the phase diagram of the Hubbard model on a square lattice, revealing competing stripe and superconducting orders that resemble cuprate superconductor behavior.
Contribution
It introduces a combined variational Monte Carlo and tensor network approach to accurately identify phases and their boundaries in the Hubbard model at strong coupling.
Findings
Identified a wide doping range of d-wave superconductivity.
Discovered stripe charge/spin order at low doping levels.
Observed phase transitions between inhomogeneous and uniform states.
Abstract
The long-studied Hubbard model is one of the simplest models of copper-oxide superconductors. However, the connection between the model and the experimental phase diagram is still under debate, in particular regarding the existence and extent of the -wave superconducting phase. Recent rapid progress in improving the accuracy of numerical solvers has opened a way to answer this question reliably. Here, we study the hole-doping concentration () dependence of the Hubbard model in the ground states on a square lattice at strong coupling , for the on-site interaction and the transfer , using a variational Monte Carlo method. The method, which combines tensor network and Lanczos methods on top of Pfaffian wave functions, reveals a rich phase diagram, in which many orders compete severely and degenerate within the energy range of 0.01. We have identified distinct…
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.
