4.5 Article

Branch point twist field form factors in the sine-Gordon model I: Breather fusion and entanglement dynamics

期刊

SCIPOST PHYSICS
卷 10, 期 6, 页码 -

出版社

SCIPOST FOUNDATION
DOI: 10.21468/SciPostPhys.10.6.132

关键词

-

资金

  1. ERC [771536]

向作者/读者索取更多资源

The quantum sine-Gordon model is studied in this paper, focusing on the computation of low particle-number form factors and the correlation functions of the branch point twist field for measuring entanglement. The theory's attractive regime with solitons, antisolitons, and breathers is considered, with form factors computed using the fusion procedure. The study shows undamped oscillations in von Neumann and Renyi entropies over time, with frequencies and amplitudes related to the breather masses and form factors respectively.
The quantum sine-Gordon model is the simplest massive interacting integrable quantum field theory whose two-particle scattering matrix is generally non-diagonal. As such, it is a model that has been extensively studied, especially in the context of the bootstrap program. In this paper we compute low particle-number form factors of a special local field known as the branch point twist field, whose correlation functions are building blocks for measures of entanglement. We consider the attractive regime where the theory possesses a particle spectrum consisting of a soliton, an antisoliton (of opposite U(1) charges) and several (neutral) breathers. In the breather sector we exploit the fusion procedure to compute form factors of heavier breathers from those of lighter ones. We apply our results to the study of the entanglement dynamics after a small mass quench and for short times. We show that in the presence of two or more breathers the von Neumann and Renyi entropies display undamped oscillations in time, whose frequencies are proportional to the even breather masses and whose amplitudes are proportional to the breather's one-particle form factor.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据