TL;DR
This paper introduces a finite-size fermionic tensor network method combined with variational Monte Carlo to accurately simulate the 2D Hubbard model's ground state, surpassing previous state-of-the-art energies on large lattices.
Contribution
The authors develop a novel approach using finite-size fermionic projected entangled pair states with variational Monte Carlo, achieving higher accuracy than existing methods for large 2D Hubbard lattices.
Findings
Surpassed state-of-the-art DMRG energies on 8-leg ladders.
Achieved accurate ground-state energies on large 2D lattices.
Observed the dimensional crossover between stripe orientations at specific doping.
Abstract
We demonstrate the use of finite-size fermionic projected entangled pair states, in conjunction with variational Monte Carlo, to perform accurate simulations of the ground-state of the 2D Hubbard model. Using bond dimensions of up to , we show that we can surpass state-of-the-art DMRG energies that use up to SU(2) multiplets on 8-leg ladders. We further apply our methodology to , and lattices at hole doping and observe the dimensional crossover between stripe orientations. Our work shows the power of finite-size fermionic tensor networks to resolve the physics of the 2D Hubbard model and related problems.
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