35 citations · 96 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
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…
Structural, electronic, magnetic properties of Cu-doped lead-apatite PbCu(PO)O
Jianfeng Zhang, Huazhen Li, Ming Yan +4
The recent report of superconductivity in the Cu-doped PbPO compound stimulates the extensive researches on its physical properties. Herein, the detailed atomic and electronic stru…
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…
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…
Automatic Differentiation for Second Renormalization of Tensor Networks
Bin-Bin Chen, Yuan Gao, Yi-Bin Guo +7
Tensor renormalization group (TRG) constitutes an important methodology for accurate simulations of strongly correlated lattice models. Facilitated by the automatic differentiation…
Cross derivative: a universal and efficient method for phase transitions in classical spin models
Y. Chen, K. Ji, Z. Y. Xie +1
With an auxiliary weak external magnetic field, we reexamine the fundamental thermodynamic function, Gibbs free energy F(T, h), to study the phase transitions in the classical spin…
Compressing deep neural networks by matrix product operators
Ze-Feng Gao, Song Cheng, Rong-Qiang He +4
A deep neural network is a parametrization of a multilayer mapping of signals in terms of many alternatively arranged linear and nonlinear transformations. The linear transformatio…