Abstract

Infinite projected entangled pair states (iPEPS) have emerged as a powerful tool for studying interacting two-dimensional fermionic systems. In this review, we discuss the iPEPS construction and some basic properties of this tensor network (TN) ansatz. Special focus is put on (i) a gentle introduction of the diagrammatic TN representations forming the basis for deriving the complex numerical algorithm, and (ii) the technical advance of fully exploiting non-abelian symmetries for fermionic iPEPS treatments of multi-band lattice models. The exploitation of non-abelian symmetries substantially increases the performance of the algorithm, enabling the treatment of fermionic systems up to a bond dimension D=24D=24 on a square lattice. A variety of complex two-dimensional (2D) models thus become numerically accessible. Here, we present first promising results for two types of multi-band Hubbard models, one with 22 bands of spinful fermions of \mathrm{SU}(2)_\mathrm{spin} \otimes \mathrm{SU}(2)_\mathrm{orb}SU(2)spin⊗SU(2)orb symmetry, the other with 33 flavors of spinless fermions of \mathrm{SU}(3)_\mathrm{flavor}SU(3)flavor symmetry.

Highlights

  • We focus on the corner transfer matrix method (CTM) [57, 58], which is well suited for Infinite projected entangled pair states (iPEPS) applications on square-lattice geometries

  • This formulation builds on two simple “fermionization” rules discussed below, that were pioneered in the context of fermionic MERA by Refs. [85] and [46], and later adapted to the Projected entangled pair states (PEPS) and iPEPS framework [45]

  • Quantum states can be organized into irreducible symmetry multiplets that carry an additional label qz that specifies the internal structure of an individual multiplet, e.g. |ql〉 → |ql; qz〉

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Summary

Introduction

Ever since the discovery of high-Tc superconductivity, there is a great need for developing and improving numerical approaches for studying one-band and multi-band fermionic many-body systems in two spatial dimensions. PEPS has not yet reached its full potential in application to frustrated and fermionic 2D systems This is mostly due to the technical complexity of the algorithm, especially when dealing with fermionic signs [24] and when implementing symmetries explicitly [25,26,27,28,29,30,31,32,33]. A first application of our non-abelian fermionic iPEPS code, published concurrently with this tutorial review, is a study of the 2D fermionic t-J model [51] – by exploiting either U(1) or SU(2) symmetry to allow or forbid spontaneous spin symmetry breaking, we elucidate the interplay between antiferromagnetic order, stripe formation and pairing correlations. We further illustrate the power of non-abelian iPEPS by presenting some exemplary results for two 2D fermionic Hubbard models of higher complexity: a model with two degenerate bands of spinful fermions, featuring SU(2)spin ⊗ SU(2)orb symmetry, and a model with three degenerate bands of spinless fermions, featuring SU(3)flavor symmetry

Tensor network diagrams and convention
Infinite projected entangled pair states
PEPS ansatz and properties
Contractions
Corner transfer matrix scheme
Expectation value
Ground state search
Bond projection
Simple update
Full update
Alternative approaches
Gauge fixing
Fermionic tensor networks
Parity conservation
Fermionic swap gates
Fermionic operators
Fermionic PEPS implementation
Fermionic iPEPS implementation
Abelian symmetries
Non-abelian symmetries
Outer multiplicity
PEPS with symmetries
Global symmetry sector
Arrow convention
Efficient contractions
Examples
Spinful two-band Hubbard model
Three-flavor Hubbard model
A Constructing tensors with symmetry
Tensor product decomposition
Irreducible tensor operator
PEPS tensor construction

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