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Related papers: Background independent tensor networks

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The paper investigates the dynamics of entanglement and explores some geometrical characteristics of the trajectories in state space, in four-qubit Greenberger-Horne-Zeilinger (GHZ)-and W-type states, coupled to common and independent…

Quantum Physics · Physics 2017-09-13 L. T. Kenfack , M. Tchoffo , M. N. Jipdi , G. C. Fuoukeng , L. C. Fai

Not only in physical string theories, but also in some highly simplified situations, background independence has been difficult to understand. It is argued that the ``holomorphic anomaly'' of Bershadsky, Cecotti, Ooguri, and Vafa gives a…

High Energy Physics - Theory · Physics 2007-05-23 Edward Witten

Image harmonization is an important step in photo editing to achieve visual consistency in composite images by adjusting the appearances of foreground to make it compatible with background. Previous approaches to harmonize composites are…

Computer Vision and Pattern Recognition · Computer Science 2020-06-02 Konstantin Sofiiuk , Polina Popenova , Anton Konushin

Tensor network methods, most prominently matrix product states (MPS), have become fundamental tools in modern quantum many-body physics. While MPS and extensions like the multiscale entanglement renormalization ansatz (MERA) and tree tensor…

Quantum Physics · Physics 2026-04-16 Kaito Kobayashi , Benjamin Sappler , Frank Pollmann

In this paper we show that in addition to the known minimal surfaces which appear in the literature for computing the entanglement entropy there are other minimal surfaces with non-zero extrinsic curvature. We use the approach of…

High Energy Physics - Theory · Physics 2016-02-09 Ahmad Ghodsi , Mohammad Moghadassi

In gauge theories the presence of constraints can obstruct expressing the global Hilbert space as a tensor product of the Hilbert spaces corresponding to degrees of freedom localized in complementary regions. In algebraic terms, this is due…

High Energy Physics - Theory · Physics 2014-04-23 Horacio Casini , Marina Huerta , Jose Alejandro Rosabal

Entanglement is one of the most fascinating features arising from quantum-mechanics and of great importance for quantum information science. Of particular interest are so-called hybrid-entangled states which have the intriguing property…

We adapt the bialgebra and Hopf relations to expose internal structure in the ground state of a Hamiltonian with $Z_2$ topological order. Its tensor network description allows for exact contraction through simple diagrammatic rewrite rules.…

Quantum Physics · Physics 2011-12-08 S. J. Denny , J. D. Biamonte , D. Jaksch , S. R. Clark

We use the entanglement negativity, a measure of entanglement for mixed states, to probe the structure of entanglement in the ground state of a topologically ordered system. Through analytical calculations of the negativity in the ground…

Quantum Physics · Physics 2015-06-16 Yirun Arthur Lee , Guifre Vidal

Kauffman and Lomonaco explored the idea of understanding quantum entanglement (the non-local correlation of certain properties of particles) topologically by viewing unitary entangling operators as braiding operators. In the work of G.…

Geometric Topology · Mathematics 2018-08-01 Louis H. Kauffman , Eshan Mehrotra

Quantum contextuality is a source of quantum computational power and a theoretical delimiter between classical and quantum structures. It has been substantiated by numerous experiments and prompted generation of state independent contextual…

Quantum Physics · Physics 2019-11-18 Mladen Pavicic

The aim of this article is to describe a new perspective on functoriality of persistent homology and explain its intrinsic symmetry that is often overlooked. A data set for us is a finite collection of functions, called measurements, with a…

Algebraic Topology · Mathematics 2020-05-26 Wojciech Chacholski , Alessandro De Gregorio , Nicola Quercioli , Francesca Tombari

Quantum mechanics of composite systems, gives rise to certain special states called entangled states. A physical system, that is in an entangled state displays an intricate correlation between its subsystems. There are also some composite…

Quantum Physics · Physics 2009-07-13 S. Kanmani

This review focuses on the field of quantum entanglement applied to condensed matter physics systems with strong correlations, a domain which has rapidly grown over the last decade. By tracing out part of the degrees of freedom of…

Strongly Correlated Electrons · Physics 2016-08-11 Nicolas Laflorencie

Entanglement in high-dimensional quantum systems, where one or more degrees of freedom of light are involved, offers increased information capacities and enables new quantum protocols. Here, we demonstrate a functional source of…

We demonstrate that for general conformal field theories (CFTs), the entanglement for small perturbations of the vacuum is organized in a novel holographic way. For spherical entangling regions in a constant time slice, perturbations in the…

High Energy Physics - Theory · Physics 2016-02-15 Jan de Boer , Michal P. Heller , Robert C. Myers , Yasha Neiman

In this paper, we study a holographic description of weak measurements in conformal field theories (CFTs). Weak measurements can be viewed as a soft projection that interpolates between an identity operator and a projection operator, and…

High Energy Physics - Theory · Physics 2023-12-29 Xinyu Sun , Shao-Kai Jian

Tensor network states and methods have erupted in recent years. Originally developed in the context of condensed matter physics and based on renormalization group ideas, tensor networks lived a revival thanks to quantum information theory…

Strongly Correlated Electrons · Physics 2019-09-12 Roman Orus

We study the holographic entanglement entropy and mutual information for Lorentz boosted subsystems. In holographic CFTs at zero and finite temperature, we find that the mutual information gets divergent in a universal way when the end…

High Energy Physics - Theory · Physics 2017-11-15 Yuya Kusuki , Tadashi Takayanagi , Koji Umemoto

Progress in the application of machine learning techniques to the prediction of solid-state and molecular materials properties has been greatly facilitated by the development state-of-the-art feature representations and novel deep learning…

Materials Science · Physics 2022-03-21 David E. Sommer , Scott T. Dunham
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