北京工业大学高能组

Entanglement Entropy with neural networks

by Prof. 汗青 石

Asia/Shanghai
318 (数理楼)

318

数理楼

Description

摘要:We compute the Renyi entropy in a one-dimensional transverse-field quantum Ising model in the ground state and in the state after a linear quench, by employing a swapping operator acting on the states which are prepared from the neural network methods. In the static ground state, Renyi entropy can uncover the critical point of the quantum phase transition from paramagnetic to ferromagnetic. At the critical point, the relation between the Renyi entropy and the subsystem size satisfies the predictions from conformal field theory. In the dynamical case, we find coherent oscillations of the Renyi entropy after the end of the linear quench. These oscillations have universal frequencies which may come from the superpositions of excited states. The asymptotic form of the Renyi entropy implies a new length scale away from the critical point. This length scale is also verified by the overlap of the reduced Renyi entropy against the dimensionless subsystem size. 

报告人简介:石汉青,北京航空航天大学