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1
Published in 2017 at "Journal of High Energy Physics"
DOI: 10.1007/jhep01(2018)139
Abstract: A bstractWe use the tensor network living on the Bruhat-Tits tree to give a concrete realization of the recently proposed p-adic AdS/CFT correspondence (a holographic duality based on the p-adic number field ℚp). Instead of…
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Keywords:
network adic;
adic ads;
ads cft;
tensor network ... See more keywords
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Published in 2021 at "Journal of High Energy Physics"
DOI: 10.1007/jhep09(2021)210
Abstract: Abstract Kitaev’s lattice models are usually defined as representations of the Drinfeld quantum double D(H) = H ⋈ H*op, as an example of a double cross product quantum group. We propose a new version based…
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Keywords:
tensor network;
network representation;
model;
kitaev lattice ... See more keywords
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Published in 2020 at "Physical Review A"
DOI: 10.1103/physreva.102.042407
Abstract: Central to the AdS/CFT correspondence is a precise relationship between the curvature of an anti-de Sitter (AdS) spacetime and the central charge of the dual conformal field theory (CFT) on its boundary. Our work shows…
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Keywords:
tensor network;
central charges;
network models;
charges aperiodic ... See more keywords
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Published in 2019 at "Physical Review B"
DOI: 10.1103/physrevb.100.155121
Abstract: In one dimension (1D), a general decaying long-range interaction can be fit to a sum of exponential interactions $e^{-\lambda r_{ij}}$ with varying exponents $\lambda$, each of which can be represented by a simple matrix product…
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Keywords:
tensor;
tensor network;
long range;
basis ... See more keywords
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0
Published in 2020 at "Physical Review B"
DOI: 10.1103/physrevb.101.075302
Abstract: Recently in [Phys. Rev. B 99, 241301(R) (2019)] tensor networks build upon logical circuits were briefly introduced to retrieve exciton and biexciton states. Compared to a conventional approach the tensor network methods scales logarithmic instead…
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Keywords:
network strategies;
tensor;
tensor network;
strategies calculating ... See more keywords
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Published in 2020 at "Physical Review B"
DOI: 10.1103/physrevb.101.155418
Abstract: We numerically obtain the conformal spectrum of several classical spin models on a two-dimensional lattice with open boundaries, for each boundary fixed points obtained by the Cardy's derivation [J. L. Cardy, Nucl. Phys. B 324,…
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Keywords:
boundary conformal;
conformal spectrum;
tensor network;
classical spin ... See more keywords
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2
Published in 2022 at "Physical Review B"
DOI: 10.1103/physrevb.105.024309
Abstract: It has been recently shown how the tensorial nature of real-time path integrals involving the Feynman-Vernon influence functional can be utilized using matrix product states, taking advantage of the finite length of the non-Markovian memory.…
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Keywords:
representation;
tensor;
tensor network;
path ... See more keywords
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3
Published in 2023 at "Physical Review B"
DOI: 10.1103/physrevb.107.144510
Abstract: Quantum simulations of the Bose-Hubbard model (BHM) at commensurate filling can follow spreading of correlations after a sudden quench for times long enough to estimate their propagation velocities. In this work we perform tensor network…
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Keywords:
quantum kibble;
bose hubbard;
hubbard model;
network simulation ... See more keywords
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2
Published in 2022 at "Physical Review B"
DOI: 10.1103/physrevb.107.155102
Abstract: We study the interplay between symmetry representations of the physical and virtual space on the class of tensor network states for critical spins systems known as field tensor network states (fTNS). These are by construction…
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Keywords:
network states;
tensor;
symmetry;
tensor network ... See more keywords
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2
Published in 2023 at "Physical Review B"
DOI: 10.1103/physrevb.107.205106
Abstract: Tensor networks provide a useful tool to describe low-dimensional complex many-body systems. Finding efficient algorithms to use these methods for finite-temperature simulations in two dimensions is a continuing challenge. Here, we use the class of…
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Keywords:
tensor;
network representations;
thermal states;
tensor network ... See more keywords
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2
Published in 2023 at "Physical Review B"
DOI: 10.1103/physrevb.107.205123
Abstract: We propose a scheme to perform tensor network based finite-size scaling analysis for two-dimensional classical models. In the tensor network representation of the partition function, we use higher-order tensor renormalization group (HOTRG) method to coarse…
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Keywords:
size scaling;
two dimensional;
tensor;
finite size ... See more keywords