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This paper gives a summary of the author's works concerning the emergent general relativity in a particular class of tensor models, which possess Gaussian classical solutions. In general, a classical solution in a tensor model may be…

High Energy Physics - Theory · Physics 2014-11-20 Naoki Sasakura

We analyze a wave function of a tensor model in the canonical formalism, when the argument of the wave function takes Lie group invariant or nearby values. Numerical computations show that there are two phases, which we call the quantum and…

High Energy Physics - Theory · Physics 2022-04-20 Taigen Kawano , Naoki Sasakura

We show that, in discrete models of quantum gravity, emergent geometric space can be viewed as the entanglement pattern in a mixed quantum state of the "universe", characterized by a universal topological network entanglement. As a concrete…

High Energy Physics - Theory · Physics 2017-11-22 M. C. Diamantini , C. A. Trugenberger

We study the wave function of a tensor model in the canonical formalism by Hamiltonian Monte Carlo method for Lie group symmetric or nearby values for the argument of the wave function, and show that there emerge Lie-group symmetric…

High Energy Physics - Theory · Physics 2022-03-31 Naoki Sasakura

We examine the fundamental question whether a random discrete structure with the minimal number of restrictions can converge to continuous metric space. We study the geometrical properties such as the dimensionality and the curvature…

Disordered Systems and Neural Networks · Physics 2024-05-14 Ioannis Kleftogiannis , Ilias Amanatidis

Random tensor networks provide useful models that incorporate various important features of holographic duality. A tensor network is usually defined for a fixed graph geometry specified by the connection of tensors. In this paper, we…

High Energy Physics - Theory · Physics 2017-09-13 Xiao-Liang Qi , Zhao Yang , Yi-Zhuang You

We describe explicitly how entanglement between quantum mechanical subsystems can lead to emergent gauge symmetry in a classical limit. We first provide a precise characterisation of when it is consistent to treat a quantum subsystem…

High Energy Physics - Theory · Physics 2022-09-12 Josh Kirklin

We discuss the possibility that spacetime geometry may be an emergent phenomenon. This idea has been motivated by the Analogue Gravity programme. These are systems where the kinematics of small perturbations are dominated by an effective…

General Relativity and Quantum Cosmology · Physics 2007-11-29 Silke Weinfurtner

We consider synchrony patterns in coupled phase oscillator networks that correspond to invariant tori. For specific nongeneric coupling, these tori are equilibria relative to a continuous symmetry action. We analyze how the invariant tori…

Dynamical Systems · Mathematics 2025-12-16 Christian Bick , José Mujica , Bob Rink

We show that model molecules with particular rotational symmetries can self-assemble into network structures equivalent to rhombus tilings. This assembly happens in an emergent way, in the sense that molecules spontaneously select irregular…

Statistical Mechanics · Physics 2015-03-25 Stephen Whitelam , Isaac Tamblyn , Juan P. Garrahan , Peter H. Beton

Turing patterns, arising from the interplay between competing species of diffusive particles, has long been an important concept for describing non-equilibrium self-organization in nature, and has been extensively investigated in many…

Pattern Formation and Solitons · Physics 2023-06-26 Jasper van der Kolk , Guillermo García-Pérez , Nikos E. Kouvaris , M. Ángeles Serrano , Marián Boguñá

Frustration is a ubiquitous phenomenon in many-body physics that influences the nature of the system in a profound way with exotic emergent behavior. Despite its long research history, the analytical or numerical investigations on…

Statistical Mechanics · Physics 2023-12-06 Feng-Feng Song , Tong-Yu Lin , Guang-Ming Zhang

Networks are mathematical structures that are universally used to describe a large variety of complex systems such as the brain or the Internet. Characterizing the geometrical properties of these networks has become increasingly relevant…

Physics and Society · Physics 2015-05-26 Zhihao Wu , Giulia Menichetti , Christoph Rahmede , Ginestra Bianconi

We consider a set of macroscopic (classical) degrees of freedom coupled to an arbitrary many-particle Hamiltonian system, quantum or classical. These degrees of freedom can represent positions of objects in space, their angles, shape…

Statistical Mechanics · Physics 2015-06-17 Luca D'Alessio , Anatoli Polkovnikov

Quantum mechanics is 'emergent' if a statistical treatment of large scale phenomena in a locally deterministic theory requires the use of quantum operators. These quantum operators may allow for symmetry transformations that are not present…

High Energy Physics - Theory · Physics 2008-11-26 Gerard 't Hooft

One of the apparent advantages of quantum computers over their classical counterparts is their ability to efficiently contract tensor networks. In this article, we study some implications of this fact in the case of topological tensor…

Quantum Physics · Physics 2016-10-17 Gorjan Alagic , Edgar A. Bering

Algebraic curvature tensors possess generators which can be formed from symmetric or alternating tensors S, A or tensors \theta with an irreducible (2,1)-symmetry. In differential geometry examples of curvature formulas are known which…

Differential Geometry · Mathematics 2014-11-18 Bernd Fiedler

We reexamine the energy-momentum tensor in classical electrodynamics from the perspective of spacetime-dependent translations, i.e., diffeomorphism invariance in flat spacetime. When energy-momentum is identified through local translations…

High Energy Physics - Theory · Physics 2026-01-26 Taeseung Choi

A transitional layer matching the asymptotically flat exterior of a charged, massive toroidal body to an interior with spatially cylindrical symmetry is described. The changes in the geometry, which by themselves would require an energy…

General Relativity and Quantum Cosmology · Physics 2007-05-23 Andrew J. Janca

Inspired by the prospect of having discretized spaces emerge from random graphs, we construct a collection of simple and explicit exponential random graph models that enjoy, in an appropriate parameter regime, a roughly constant vertex…

Disordered Systems and Neural Networks · Physics 2021-10-01 Pawat Akara-pipattana , Thiparat Chotibut , Oleg Evnin
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