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Tensor networks are a powerful formalism for transforming one set of degrees of freedom to another. They have been heavily used in analyzing the geometry of bulk/boundary correspondence in conformal field theories. Here we develop a…

Strongly Correlated Electrons · Physics 2019-09-26 Xiongjie Yu , David Pekker , Bryan K. Clark

We develop the tensor renormalization group (TRG) algorithm for statistical systems with open boundaries, which allows us to investigate not only the bulk but also the boundary property, such as the surface magnetization. We demonstrate…

Statistical Mechanics · Physics 2019-08-02 Shumpei Iino , Satoshi Morita , Naoki Kawashima

Tensor network (TN) states, including entanglement renormalization (ER), can encompass a wider variety of entangled states. When the entanglement structure of the quantum state of interest is non-uniform in real space, accurately…

Quantum Physics · Physics 2026-02-06 Ryo Watanabe , Hiroshi Ueda

Many topologically nontrivial states of matter possess gapless degrees of freedom on the boundary, and when these boundary states delocalize into the bulk, a phase transition occurs and the system becomes topologically trivial. We show that…

Strongly Correlated Electrons · Physics 2014-09-02 Timothy H. Hsieh , Liang Fu , Xiao-Liang Qi

We point out that the MERA network for the ground state of a 1+1-dimensional conformal field theory has the same structural features as kinematic space---the geometry of CFT intervals. In holographic theories kinematic space becomes…

High Energy Physics - Theory · Physics 2016-08-24 Bartlomiej Czech , Lampros Lamprou , Samuel McCandlish , James Sully

The full-density-matrix numerical renormalization group (NRG) has evolved as a systematic and transparent setting for the cal- culation of thermodynamical quantities at arbitrary temperatures within the NRG framework. It directly evaluates…

Strongly Correlated Electrons · Physics 2013-05-30 Andreas Weichselbaum

Gradient Flow Exact Renormalization Group (GF-ERG) is a framework to define the renormalization group flow of Wilsonian effective action utilizing coarse-graining along the diffusion equations. We apply it for Scalar Quantum Electrodynamics…

High Energy Physics - Theory · Physics 2024-06-04 Junichi Haruna , Masatoshi Yamada

In this paper, we would like to study operator reconstruction in a class of holographic tensor networks describing renormalization group flows studied in arXiv:2210.12127. We study examples of 2d bulk holographic tensor networks constructed…

High Energy Physics - Theory · Physics 2024-02-13 Xiangdong Zeng , Ling-Yan Hung

On the lattice, a renormalization group (RG) flow for two-dimensional partition functions expressed as a tensor network can be obtained using the tensor network renormalization (TNR) algorithm [G. Evenbly, G. Vidal, Phys. Rev. Lett. 115…

High Energy Physics - Theory · Physics 2018-09-17 Qi Hu , Adrian Franco-Rubio , Guifre Vidal

In this paper, we revisit scalar field theories in $d$ space-time dimensions possessing $U(N)$ global symmetry. Following our recent work arXiv:1402.1430v2, we consider the generating function of correlation functions of all…

High Energy Physics - Theory · Physics 2015-01-07 Robert G. Leigh , Onkar Parrikar , Alexander B. Weiss

Recently, a method was described for deriving Holographic RG equation in $AdS_{D+1}$ space starting from an Exact RG equation of a $D$-dimensional boundary CFT (Sathiapalan, Sonoda, 2017). The evolution operator corresponding to the Exact…

High Energy Physics - Theory · Physics 2023-02-23 Pavan Dharanipragada , Semanti Dutta , Bala Sathiapalan

The exact renormalization group (ERG) is formulated implementing the decimation of degrees of freedom by means of a particular momentum integration measure. The definition of this measure involves a distribution that links this decimation…

High Energy Physics - Theory · Physics 2023-01-25 Roberto Trinchero

The Multi-scale Entanglement Renormalization Ansatz (MERA) is a tensor network that provides an efficient way of variationally estimating the ground state of a critical quantum system. The network geometry resembles a discretization of…

High Energy Physics - Theory · Physics 2015-07-03 Ning Bao , ChunJun Cao , Sean M. Carroll , Aidan Chatwin-Davies , Nicholas Hunter-Jones , Jason Pollack , Grant N. Remmen

In earlier papers a method was given for constructing from first principles a holographic bulk dual action in Euclidean AdS space for a Euclidean CFT on the boundary. The starting point was an Exact RG for the boundary theory. The bulk…

High Energy Physics - Theory · Physics 2025-08-11 B. Sathiapalan

Recent years have enjoyed substantial progress in capturing properties of complex quantum systems by means of random tensor networks (RTNs), which form ensembles of quantum states that depend only on the tensor network geometry and bond…

Quantum Physics · Physics 2025-08-25 Shozab Qasim , Jens Eisert , Alexander Jahn

In renormalization group (RG) flow, the low energy states form a code subspace that is approximately protected against the local short-distance errors. We motivate this connection with an example of spin-blocking RG in classical spin…

High Energy Physics - Theory · Physics 2022-11-16 Keiichiro Furuya , Nima Lashkari , Mudassir Moosa

We propose a new class of tensor network state as a model for the AdS/CFT correspondence and holography. This class is demonstrated to retain key features of the multi-scale entanglement renormalization ansatz (MERA), in that they describe…

Quantum Physics · Physics 2017-10-18 Glen Evenbly

As a quantum-informative window into quantum many-body physics, the concept and application of entanglement renormalization group (ERG) have been playing a vital role in the study of novel quantum phases of matter, especially long-range…

Quantum Physics · Physics 2023-03-31 Meng-Yuan Li , Peng Ye

In the long-standing quest to reconcile gravity with quantum mechanics, profound connections have been unveiled between concepts traditionally pertaining to quantum information theory, such as entanglement, and constitutive features of…

High Energy Physics - Theory · Physics 2022-06-28 Eugenia Colafranceschi , Gerardo Adesso

We propose a real-space renormalization group algorithm for accurately coarse-graining two-dimensional tensor networks. The central innovation of our method lies in utilizing variational boundary tensors as a globally optimized environment…

Statistical Mechanics · Physics 2026-03-03 Feng-Feng Song , Naoki Kawashima