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Existing tensor network models of holography are limited to representing the geometry of constant time slices of static spacetimes. We study the possibility of describing the geometry of a dynamic spacetime using tensor networks. We find it…

High Energy Physics - Theory · Physics 2019-10-24 Alex May

This dissertation reviews several recent advances at the intersection of quantum information and holography. In holography, properties of quantum systems admit a gravitational interpretation via the AdS/CFT correspondence. For holographic…

Quantum Physics · Physics 2024-06-05 William Munizzi

The Ryu-Takayanagi formula directly connects quantum entanglement and geometry. Yet the assumption of static geometry lead to an exponentially small mutual information between far-separated disjoint regions, which does not hold in many…

High Energy Physics - Theory · Physics 2023-05-17 Jonathan Lam , Yi-Zhuang You

Motivated by properties of tensor networks, we conjecture that an arbitrary gravitating region $a$ can be assigned a generalized entanglement wedge $E\supset a$, such that quasi-local operators in $E$ have a holographic representation in…

High Energy Physics - Theory · Physics 2023-08-01 Raphael Bousso , Geoff Penington

We propose a framework for preparing quantum states with a holographic entanglement structure, in the sense that the entanglement entropies are governed by minimal surfaces in a chosen bulk geometry. We refer to such entropies as…

Quantum Physics · Physics 2026-01-30 Jonathan Jeffrey , Lucien Gandarias , Monika Schleier-Smith , Brian Swingle

A delicate tension complicates the relationship between the topological magnetoelectric effect (TME) in three-dimensional (3D) $\mathbb{Z}_2$ topological insulators (TIs) and time-reversal symmetry (TRS). TRS underlies a particular…

Mesoscale and Nanoscale Physics · Physics 2024-06-18 Perry T. Mahon , Chao Lei , Allan H. MacDonald

It was recently shown by Harlow that any quantum error correcting code, satisfying the same complementary recovery properties as AdS/CFT, will obey a version of the Ryu-Takayanagi formula. In his most general result, Harlow allowed the bulk…

High Energy Physics - Theory · Physics 2019-12-06 Helia Kamal , Geoffrey Penington

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 elaborate on our earlier proposal connecting entanglement renormalization and holographic duality in which we argued that a tensor network can be reinterpreted as a kind of skeleton for an emergent holographic space. Here we address the…

High Energy Physics - Theory · Physics 2012-09-18 Brian Swingle

The Bethe lattice Ising model -- a classical model of statistical mechanics for the phase transition -- provides a novel and intuitive understanding of the prototypical relationship between tensor networks and Anti-de Sitter (AdS)/conformal…

Statistical Mechanics · Physics 2024-02-05 Kouichi Okunishi , Tadashi Takayanagi

Continuous tensor network gives a variational ansatz for the ground state of the quantum field theories (QFTs). The notable examples are the continuous matrix product state (cMPS) and the continuous multiscale entanglement renormalization…

High Energy Physics - Theory · Physics 2023-11-23 Niloofar Vardian

Quantum entanglement entropy has a geometric character. This is illustrated by the interpretation of Rindler space or black hole entropy as entanglement entropy. In general, one can define a "geometric entropy", associated with an event…

Quantum Physics · Physics 2007-05-23 Jose Gaite

We introduce a generalized two-dimensional orbital compass model, which interpolates continuously from the classical Ising model to the orbital compass model with frustrated quantum interactions, and investigate it using the multiscale…

Strongly Correlated Electrons · Physics 2010-09-13 Lukasz Cincio , Jacek Dziarmaga , Andrzej M. Oles

The bulk-edge correspondence in topological phases is extended to systems with the generalized chiral symmetry, where the conventional chiral symmetry is broken. In such systems, we find that the edge state exhibits an unconventional…

Strongly Correlated Electrons · Physics 2021-06-02 Tohru Kawarabayashi , Yasuhiro Hatsugai

We investigate the interacting, one-dimensional Rice-Mele model, a prototypical fermionic model of topological properties. To set the stage, we firstly compute the single-particle spectral function, the local density, and the boundary…

Strongly Correlated Electrons · Physics 2020-09-03 Y. -T. Lin , D. M. Kennes , M. Pletyukhov , C. S. Weber , H. Schoeller , V. Meden

We have discussed the tensor-network representation of classical statistical or interacting quantum lattice models, and given a comprehensive introduction to the numerical methods we recently proposed for studying the tensor-network…

Strongly Correlated Electrons · Physics 2013-05-29 H. H. Zhao , Z. Y. Xie , Q. N. Chen , Z. C. Wei , J. W. Cai , T. Xiang

Quantum states with geometric duals are known to satisfy a stricter set of entropy inequalities than those obeyed by general quantum systems. The set of allowed entropies derived using the Ryu-Takayanagi (RT) formula defines the Holographic…

High Energy Physics - Theory · Physics 2024-09-09 Chris Akers , Sergio Hernández-Cuenca , Pratik Rath

We introduce a novel momentum space entanglement renormalization group (MERG) scheme for the topologically ordered (T.O.) ground state of the 2D Hubbard model on a square lattice (\cite{anirbanmotti,anirbanmott2}) using a unitary quantum…

Strongly Correlated Electrons · Physics 2022-04-29 Anirban Mukherjee , Siddhartha Lal

We study criteria for and properties of boundary-to-boundary holography in a class of spin network states defined by analogy to projected entangled pair states (PEPS). In particular, we consider superpositions of states corresponding to…

Quantum Physics · Physics 2022-05-23 Simon Langenscheidt

We present an algorithm for supervised learning using tensor networks, employing a step of preprocessing the data by coarse-graining through a sequence of wavelet transformations. We represent these transformations as a set of tensor…

Machine Learning · Statistics 2020-01-24 Justin Reyes , Miles Stoudenmire