Classification of trivial spin-1 tensor network states on a square lattice
Hyunyong Lee, Jung Hoon Han

TL;DR
This paper develops a tensor network classification scheme for trivial spin-1 quantum spin liquid states on a square lattice, identifying 32 distinct classes and exploring their physical properties through explicit wave function constructions.
Contribution
It introduces a general method for classifying trivial spin-1 quantum spin liquids on a square lattice, expanding understanding beyond spin-1/2 systems and providing explicit wave functions and phase diagrams.
Findings
Identified 32 classes of spin-1 QSL states respecting all symmetries.
Found both gapped and gapless states with trivial topological entanglement entropy.
Discovered a rich phase diagram including plaquette-ordered, RVB, and critical phases.
Abstract
Classification of possible quantum spin liquid (QSL) states of interacting spin-1/2's in two dimensions has been a fascinating topic of condensed matter for decades, resulting in enormous progress in our understanding of low-dimensional quantum matter. By contrast, relatively little work exists on the identification, let alone classification, of QSL phases for spin-1 systems in dimensions higher than one. Employing the powerful ideas of tensor network theory and its classification, we develop general methods for writing QSL wave functions of spin-1 respecting all the lattice symmetries, spin rotation, and time reversal with trivial gauge structure on the square lattice. We find distinct classes characterized by five binary quantum numbers. Several explicit constructions of such wave functions are given for bond dimensions ranging from two to four, along with thorough numerical…
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