Boson condensation and instability in the tensor network representation of string-net states

TL;DR

This paper investigates the stability of tensor network representations of string-net topological phases, revealing that MPO symmetries can protect topological order against certain perturbations, but some variations induce boson condensation and cause instability.

Contribution

It demonstrates that all string-net tensor network states are unstable under specific variations, and shows how MPO symmetries can safeguard topological order.

Findings

MPO symmetries protect topological order in tensor networks.

Variations breaking MPO symmetries lead to boson condensation.

Tensor network representations of string-net models are generally unstable.

Abstract

The tensor network representation of many-body quantum states, given by local tensors, provides a promising numerical tool for the study of strongly correlated topological phases in two dimension. However, tensor network representations may be vulnerable to instabilities caused by small perturbations of the local tensor, especially when the local tensor is not injective. For example, the topological order in tensor network representations of the toric code ground state has been shown to be unstable under certain small variations of the local tensor, if these small variations do not obey a local $Z_2$ symmetry of the tensor. In this paper, we ask the questions of whether other types of topological orders suffer from similar kinds of instability and if so, what is the underlying physical mechanism and whether we can protect the order by enforcing certain symmetries on the tensor. We answer these questions by showing that the tensor network representation of all string-net models are indeed unstable, but the matrix product operator (MPO) symmetries of the local tensor can help to protect the order. We find that, `stand-alone' variations that break the MPO symmetries lead to instability because they induce the condensation of bosonic quasi-particles and destroy the topological order in the system. Therefore, such variations must be forbidden for the encoded topological order to be reliably extracted from the local tensor. On the other hand, if a tensor network based variational algorithm is used to simulate the phase transition due to boson condensation, then such variation directions must be allowed in order to access the continuous phase transition process correctly.