activity
20212026
most citedScaling dimensions from linearized tensor renormalization group transformations

14 citations · 25 across the 5 of their papers we have counts for

collaborators

6 papers

cond-mat.stat-mech2026

Lattice and PT symmetries in tensor-network renormalization group: Case study of a hard-square lattice gas model

Xinliang Lyu

The tensor-network renormalization group (TNRG) is an accurate numerical real-space renormalization group method for studying phase transitions in both quantum and classical system…

cond-mat.stat-mech20252 cited

Lattice-reflection symmetry in tensor-network renormalization group with entanglement filtering in two and three dimensions

Xinliang Lyu, Naoki Kawashima

Tensor-network renormalization group (TNRG) is an efficient real-space renormalization group method for studying the criticality in both classical and quantum lattice systems. Expl…

cond-mat.stat-mech20245 cited

Three-dimensional real space renormalization group with well-controlled approximations

Xinliang Lyu, Naoki Kawashima

We make Kadanoff's block idea into a reliable three-dimensional (3D) real space renormalization group (RG) method. Kadanoff's idea, expressed in spin representation, offers a quali…

cond-mat.stat-mech2023

Essential difference between 2D and 3D from the perspective of real-space renormalization group

Xinliang Lyu, Naoki Kawashima

We point out that area laws of quantum-information concepts indicate limitations of block transformations as well-behaved real-space renormalization group (RG) maps, which in turn…

quant-ph20224 cited

Cartesian operator factorization method for Hydrogen

Xinliang Lyu, Christina Daniel, James K. Freericks

We generalize Schroedinger's factorization method for Hydrogen from the conventional separation into angular and radial coordinates to a Cartesian-based factorization. Unique to th…

cond-mat.stat-mech202114 cited

Scaling dimensions from linearized tensor renormalization group transformations

Xinliang Lyu, RuQing G. Xu, Naoki Kawashima

We show a way to perform the canonical renormalization group (RG) prescription in tensor space: write down the tensor RG equation, linearize it around a fixed-point tensor, and dia…