4.7 Article

Entanglement entropy production in deep inelastic scattering

期刊

PHYSICAL REVIEW D
卷 105, 期 1, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.105.014002

关键词

-

资金

  1. U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Co-design Center for Quantum Advantage (C2QA) [DE-SC0012704]
  2. National Natural Science Foundation of China [11805152, 12047502, 11947301]
  3. Shaanxi Natural Science Fundamental Research Program [2021JCW-19]
  4. Shaanxi Key Laboratory for Theoretical Physics Frontiers in China
  5. U.S. Department of Energy, Office of Science [DE-SC0012704, DEFG88ER40388]

向作者/读者索取更多资源

This study investigates the entanglement entropy in deep inelastic scattering (DIS) and its relation with parton distributions. By analyzing the local quench in Lipatov's spin chain, the time evolution of the produced entanglement entropy is studied, revealing a logarithmic dependence on time.
Deep inelastic scattering (DIS) samples a part of the wave function of a hadron in the vicinity of the light cone. Lipatov constructed a spin chain which describes the amplitude of DIS in leading logarithmic approximation. Kharzeev and Levin proposed the entanglement entropy as an observable in DIS [Phys. Rev. D 95, 114008 (2017)], and suggested a relation between the entanglement entropy and parton distributions. Here we represent the DIS process as a local quench in Lipatov's spin chain and study the time evolution of the produced entanglement entropy. We show that the resulting entanglement entropy depends on time logarithmically, S(t) = 1/3 ln(t/tau) with tau = 1/m for 1/m <= t <= (mx)(-1), where m is the proton mass and x is the Bjorken x. The central charge c of Lipatov's spin chain is determined here to be c = 1; using the proposed relation between the entanglement entropy and parton distributions, this corresponds to the gluon structure function growing at small x as xG(x) similar to 1/x(1)(/3).

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

4.7
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