activity
20192025
most citedVariational corner transfer matrix renormalization group method for classical statistical models

13 citations · 22 across the 5 of their papers we have counts for

collaborators

9 papers

cond-mat.str-el2025

Probing universal imaginary-time relaxation critical dynamics with infinite projected entangled pair states

He-Yu Lin, Shuai Yin, Z. Y. Xie +1

We investigate the imaginary-time relaxation critical dynamics of the two-dimensional transverse-field Ising model using infinite projected entangled pair states (iPEPS) with the f…

cond-mat.str-el2025

Determination of ground states of one-dimensional quantum systems using the cluster iTEBD method

Tao Yang, Rui Wang, Z. Y. Xie +1

Within the framework of imaginary-time evolution for matrix product states, we introduce a cluster version of the infinite time-evolving block decimation algorithm for simulating q…

cond-mat.mtrl-sci2025

Antiferromagnetic two-dimensional transition-metal nitride CoN layer with high Nel temperature and Dirac fermions

Lujia Tian, Lihui Han, Yuanfang Yue +3

Two-dimensional (2D) transition metal nitrides have a wide prospect of applications in the fields of physics, chemistry, materials, etc. However, 2D transition metal nitrides with…

cond-mat.str-el2024

Quantum dynamics in a spin-1/2 square lattice -- altermagnet

Yang Liu, Shiqi Shao, Saisai He +4

A key feature of the newly discovered altermagnet is that its spin degeneracy is lifted, although it has an antiferromagnetic order and zero net magnetization. In this work, we inv…

cond-mat.str-el202213 cited

Variational corner transfer matrix renormalization group method for classical statistical models

X. F. Liu, Y. F. Fu, W. Q. Yu +2

In the context of tensor network states, we for the first time reformulate the corner transfer matrix renormalization group (CTMRG) method into a variational bilevel optimization a…

cs.LG20211 cited

Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators

Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao +3

This paper presents a novel pre-trained language models (PLM) compression approach based on the matrix product operator (short as MPO) from quantum many-body physics. It can decomp…