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Topological order in a 2d quantum matter can be determined by the topological contribution to the entanglement R\'enyi entropies. However, when close to a quantum phase transition, its calculation becomes cumbersome. Here we show how…

Strongly Correlated Electrons · Physics 2014-12-24 Roman Orus , Tzu-Chieh Wei , Oliver Buerschaper , Artur Garcia-Saez

We demonstrate the emergence of a holographic dimension in a system of 2D non-interacting Dirac fermions placed on a torus, by studying the scaling of multipartite entanglement measures under a sequence of renormalisation group (RG)…

Strongly Correlated Electrons · Physics 2024-08-27 Abhirup Mukherjee , Siddhartha Patra , Siddhartha Lal

Topological phases of matter possess intricate correlation patterns typically probed by entanglement entropies or entanglement spectra. In this work, we propose an alternative approach to assessing topologically induced edge states in free…

Strongly Correlated Electrons · Physics 2016-04-06 Konstantinos Meichanetzidis , Jens Eisert , Mauro Cirio , Ville Lahtinen , Jiannis K. Pachos

Leveraging the decomposability of the fast Fourier transform, I propose a new class of tensor network that is efficiently contractible and able to represent many-body systems with local entanglement that is greater than the area law.…

Quantum Physics · Physics 2014-07-09 Andrew J. Ferris

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

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

In this thesis we extend the formalism of tensor network algorithms to incorporate global internal symmetries. We describe how to both numerically protect the symmetry and exploit it for computational gain in tensor network simulations. Our…

Quantum Physics · Physics 2012-03-16 Sukhwinder Singh

We show that the numerical strong disorder renormalization group algorithm (SDRG) of Hikihara et. al. [Phys. Rev. B 60, 12116 (1999)] for the one-dimensional disordered Heisenberg model naturally describes a tree tensor network (TTN) with…

Disordered Systems and Neural Networks · Physics 2014-07-01 Andrew M. Goldsborough , Rudolf A. Römer

The ground state of the toric code, that of the two-dimensional class D superconductor, and the partition sum of the two-dimensional Ising model are dual to each other. This duality is remarkable inasmuch as it connects systems commonly…

Strongly Correlated Electrons · Physics 2024-03-21 C. Wille , J. Eisert , A. Altland

Entanglement entropy is a useful probe of compressible quantum matter because it can detect the existence of Fermi surfaces, both of microscopic fermionic degrees of freedom and of "hidden" gauge charged fermions. Much recent attention has…

High Energy Physics - Theory · Physics 2014-07-16 Brian Swingle , Liza Huijse , Subir Sachdev

Developing non-perturbative methods to reveal exotic properties of strongly correlated fermionic systems remains one of the most essential tasks of theoretical physics. Tensor network methods with Grassmann algebra offer powerful numerical…

Strongly Correlated Electrons · Physics 2026-05-14 Jian-Gang Kong , Jia-Ji Zhu , Z. Y. Xie

Real-space renormalization approaches for quantum lattice systems generate certain hierarchical classes of states that are subsumed by the multi-scale entanglement renormalization ansatz (MERA). It is shown that, with the exception of one…

Quantum Physics · Physics 2010-07-16 Thomas Barthel , Martin Kliesch , Jens Eisert

Quantum networks are promising tools for the implementation of long-range quantum communication. The characterization of quantum correlations in networks and their usefulness for information processing is therefore central for the progress…

Quantum Physics · Physics 2022-01-28 Kiara Hansenne , Zhen-Peng Xu , Tristan Kraft , Otfried Gühne

We explain how to implement, in the context of projected entangled-pair states (PEPS), the general procedure of fermionization of a tensor network introduced in [P. Corboz, G. Vidal, Phys. Rev. B 80, 165129 (2009)]. The resulting fermionic…

Strongly Correlated Electrons · Physics 2010-04-29 Philippe Corboz , Roman Orus , Bela Bauer , Guifre Vidal

This paper demonstrates a method for tensorizing neural networks based upon an efficient way of approximating scale invariant quantum states, the Multi-scale Entanglement Renormalization Ansatz (MERA). We employ MERA as a replacement for…

Neural and Evolutionary Computing · Computer Science 2018-12-14 Andrew Hallam , Edward Grant , Vid Stojevic , Simone Severini , Andrew G. Green

Tensor eigenvalues and eigenvectors have been introduced in the recent mathematical literature as a generalization of the usual matrix eigenvalues and eigenvectors. We apply this formalism to a tensor that describes a multipartite symmetric…

Quantum Physics · Physics 2016-10-26 Fabian Bohnet-Waldraff , Daniel Braun , Olivier Giraud

The strongly correlated fermions play a vital role in modern physics. For a given fermionic Hamiltonian system, the most widely used approach to explore the underlying physics is to study the wave function that incorporates Fermi-Dirac…

Strongly Correlated Electrons · Physics 2026-04-08 Jian-Gang Kong , Zhi Yuan Xie

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

A general method to build the entanglement renormalization (cMERA) for interacting quantum field theories is presented. We improve upon the well-known Gaussian formalism used in free theories through a class of variational non-Gaussian…

High Energy Physics - Theory · Physics 2019-10-02 Jose J. Fernandez-Melgarejo , Javier Molina-Vilaplana , Emilio Torrente-Lujan

In tensor networks, a geometric operation of pushing a bond cut surface toward a minimal surface corresponds to entanglement distillation. Cutting bonds defines a reduced transition matrix on the bond cut surface and the associated quantum…

High Energy Physics - Theory · Physics 2022-10-17 Takato Mori , Hidetaka Manabe , Hiroaki Matsueda
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