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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 diagonalize the resulting linearized RG equation to obtain…

Statistical Mechanics · Physics 2021-04-20 Xinliang Lyu , RuQing G. Xu , Naoki Kawashima

The density matrix renormalization group method is generalized to one dimensional random systems. Using this method, the energy gap distribution of the spin-1/2 random antiferromagnetic Heisenberg chain is calculated. The results are…

Condensed Matter · Physics 2009-10-28 Kazuo Hida

We consider a sublattice-symmetric free-fermion model on a one-dimensional lattice with random hopping amplitudes decaying with the distance as $|t_l|\sim l^{-\alpha}$, and address the question how far an analogue of the random-singlet…

Disordered Systems and Neural Networks · Physics 2022-04-20 Róbert Juhász

We investigate tree tensor network states for quantum chemistry. Tree tensor network states represent one of the simplest generalizations of matrix product states and the density matrix renormalization group. While matrix product states…

Strongly Correlated Electrons · Physics 2013-04-09 Naoki Nakatani , Garnet Kin-Lic Chan

We study the renormalization group flow of the Lagrangian for statistical and quantum systems by representing their path integral in terms of a tensor network. Using a tensor-entanglement-filtering renormalization (TEFR) approach that…

Strongly Correlated Electrons · Physics 2010-11-02 Zheng-Cheng Gu , Xiao-Gang Wen

We examine the concurrence and entanglement entropy in quantum spin chains with random long-range couplings, spatially decaying with a power-law exponent $\alpha$. Using the strong disorder renormalization group (SDRG) technique, we find by…

Disordered Systems and Neural Networks · Physics 2020-12-30 Youcef Mohdeb , Javad Vahedi , N. Moure , A. Roshani , Hyun-Yong Lee , Ravindra N. Bhatt , Stefan Kettemann , Stephan Haas

In this paper, we present the construction of tensor network states (TNS) for some of the degenerate ground states of 3D stabilizer codes. We then use the TNS formalism to obtain the entanglement spectrum and entropy of these ground-states…

Strongly Correlated Electrons · Physics 2023-01-23 Huan He , Yunqin Zheng , B. Andrei Bernevig , Nicolas Regnault

For quantum critical spin chains without disorder, it is known that the entanglement of a segment of N>>1 spins with the remainder is logarithmic in N with a prefactor fixed by the central charge of the associated conformal field theory. We…

Disordered Systems and Neural Networks · Physics 2009-11-10 G. Refael , J. E. Moore

We study the entanglement entropy (EE) for pure gauge theories in 1+1 dimensions with the lattice regularization. Using the definition of the EE for lattice gauge theories proposed in a previous paper [1] (S. Aoki, T. Iritani, M. Nozaki, T.…

High Energy Physics - Theory · Physics 2017-01-04 Sinya Aoki , Etsuko Itou , Keitaro Nagata

The density matrix renormalization group (DMRG) method generates the low-energy states of linear systems of $N$ sites with a few degrees of freedom at each site by starting with a small system and adding sites step by step while keeping…

Strongly Correlated Electrons · Physics 2016-10-05 Manoranjan Kumar , Dayasindhu Dey , Aslam Parvej , S. Ramasesha , Zoltán G. Soos

The renormalization group flows of the one-dimensional anisotropic XY model and quantum Ising model under a transverse field are obtained by different multiscale entanglement renormalization ansatz schemes. It is shown that the optimized…

Strongly Correlated Electrons · Physics 2015-05-19 M. Q. Weng

We develop a holographic framework for computing timelike entanglement entropy (tEE) in quantum field theories, extending the Ryu-Takayanagi prescription into Lorentzian settings. Using three broad classes of supergravity backgrounds, we…

High Energy Physics - Theory · Physics 2025-10-21 Carlos Nunez , Dibakar Roychowdhury

We perform a comprehensive analysis of the symmetry-resolved (SR) entanglement entropy (EE) for one single interval in the ground state of a $1+1$D conformal field theory (CFT), that is invariant under an arbitrary finite or compact Lie…

High Energy Physics - Theory · Physics 2023-12-07 Yuya Kusuki , Sara Murciano , Hirosi Ooguri , Sridip Pal

We train machine learning algorithms to infer the entanglement structure of disordered long-range interacting quantum spin chains by learning from the strong disorder renormalisation group (SDRG) method. The system consists of…

Disordered Systems and Neural Networks · Physics 2026-03-06 A. Ustyuzhanin , J. Vahedi , S. Kettemann

Quantum information quantifiers are indispensable tools for analyzing strongly correlated systems. Consequently, developing efficient and robust numerical methods for their computation is crucial. We propose a general procedure based on the…

Quantum Physics · Physics 2025-04-07 Sven Benjamin Kožić , Gianpaolo Torre

We study the tensor renormalization group (TRG) in the dimension larger than two as the Higher-order TRG (HOTRG) with the randomized SVD method. The randomized SVD and the detailed discussion on the low order tensor representation, we can…

High Energy Physics - Lattice · Physics 2024-01-15 Katsumasa Nakayama

Ab-initio calculations of real-time evolution for lattice gauge theory have very interesting potential applications but present challenging computational aspects. We show that tensor renormalization group methods developed in the context of…

High Energy Physics - Lattice · Physics 2024-01-15 Michael Hite , Yannick Meurice

The continuous Multi Scale Entanglement Renormalization Anstaz (cMERA) consists of a variational method which carries out a real space renormalization scheme on the wavefunctionals of quantum field theories. In this work we calculate the…

High Energy Physics - Theory · Physics 2021-09-21 Jose J. Fernandez-Melgarejo , Javier Molina-Vilaplana

The higher-order tensor renormalization group is a tensor-network method providing estimates for the partition function and thermodynamical observables of classical and quantum systems in thermal equilibrium. At every step of the iterative…

High Energy Physics - Lattice · Physics 2023-02-22 Jacques Bloch , Robert Lohmayer , Maximilian Meister , Michael Nunhofer

Transfer entropy (TE) is an attractive model-free method to detect causality and infer structural connectivity of general digital systems. However it relies on high dimensions used in its definition to clearly remove the memory effect and…

Quantitative Methods · Quantitative Biology 2019-05-13 Zhong-Qi Kyle Tian , Douglas Zhou , David Cai