Search Results - "Evenbly, Glen"

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  1. 1

    A Practical Guide to the Numerical Implementation of Tensor Networks I: Contractions, Decompositions, and Gauge Freedom by Evenbly, Glen

    “…We present an overview of the key ideas and skills necessary to begin implementing tensor network methods numerically, which is intended to facilitate the…”
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    Journal Article
  2. 2

    Number-state preserving tensor networks as classifiers for supervised learning by Evenbly, Glen

    Published in Frontiers in physics (29-11-2022)
    “…We propose a restricted class of tensor network state, built from number-state preserving tensors, for supervised learning tasks. This class of tensor network…”
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    Journal Article
  3. 3

    Rigorous Free-Fermion Entanglement Renormalization from Wavelet Theory by Haegeman, Jutho, Swingle, Brian, Walter, Michael, Cotler, Jordan, Evenbly, Glen, Scholz, Volkher B.

    Published in Physical review. X (09-01-2018)
    “…We construct entanglement renormalization schemes that provably approximate the ground states of noninteracting-fermion nearest-neighbor hopping Hamiltonians…”
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    Journal Article
  4. 4

    Exact holographic tensor networks for the Motzkin spin chain by Alexander, Rafael N., Evenbly, Glen, Klich, Israel

    Published in Quantum (Vienna, Austria) (21-09-2021)
    “…The study of low-dimensional quantum systems has proven to be a particularly fertile field for discovering novel types of quantum matter. When studied…”
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    Journal Article
  5. 5

    Hyperinvariant Tensor Networks and Holography by Evenbly, Glen

    Published in Physical review letters (06-10-2017)
    “…We propose a new class of tensor network state as a model for the AdS/CFT correspondence and holography. This class is demonstrated to retain key features of…”
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    Journal Article
  6. 6

    Entanglement Renormalization and Wavelets by Evenbly, Glen, White, Steven R

    Published in Physical review letters (08-04-2016)
    “…We establish a precise connection between discrete wavelet transforms and entanglement renormalization, a real-space renormalization group transformation for…”
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    Journal Article
  7. 7

    Exploring Gamification in Quantum Computing: The Qubit Factory by Evenbly, Glen

    Published 17-06-2024
    “…Gamification of quantum theory can provide new inroads into the subject: by allowing users to experience simulated worlds that manifest obvious quantum…”
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    Journal Article
  8. 8

    A Practical Guide to the Numerical Implementation of Tensor Networks I: Contractions, Decompositions and Gauge Freedom by Evenbly, Glen

    Published 04-02-2022
    “…We present an overview of the key ideas and skills necessary to begin implementing tensor network methods numerically, which is intended to facilitate the…”
    Get full text
    Journal Article
  9. 9

    Reconstruction of Randomly Sampled Quantum Wavefunctions using Tensor Methods by Stahl, Aaron, Evenbly, Glen

    Published 02-10-2023
    “…We propose and test several tensor network based algorithms for reconstructing the ground state of an (unknown) local Hamiltonian starting from a random sample…”
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    Journal Article
  10. 10

    Reduced Contraction Costs of Corner-Transfer Methods for PEPS by Lan, Wangwei, Evenbly, Glen

    Published 13-06-2023
    “…We propose a pair of approximations that allows the leading order computational cost of contracting an infinite projected entangled-pair state (iPEPS) to be…”
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    Journal Article
  11. 11

    TensorTrace: an application to contract tensor networks by Evenbly, Glen

    Published 06-11-2019
    “…Tensor network methods are a conceptually elegant framework for encoding complicated datasets, where high-order tensors are approximated as networks of…”
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    Journal Article
  12. 12

    Simulation of interacting fermions with entanglement renormalization by Corboz, Philippe, Evenbly, Glen, Verstraete, Frank, Vidal, Guifré

    “…We propose an algorithm to simulate interacting fermions on a two-dimensional lattice. The approach is an extension of the entanglement renormalization…”
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    Journal Article
  13. 13

    Number-State Preserving Tensor Networks as Classifiers for Supervised Learning by Evenbly, Glen

    Published 15-05-2019
    “…We propose a restricted class of tensor network state, built from number-state preserving tensors, for supervised learning tasks. This class of tensor network…”
    Get full text
    Journal Article
  14. 14
  15. 15

    Gauge fixing, canonical forms and optimal truncations in tensor networks with closed loops by Evenbly, Glen

    Published 17-05-2018
    “…Phys. Rev. B 98, 085155 (2018) We describe an approach to fix the gauge degrees of freedom in tensor networks, including those with closed loops, which allows…”
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    Journal Article
  16. 16

    Improved Wavelets for Image Compression from Unitary Circuits by McCord, James C, Evenbly, Glen

    Published 04-03-2022
    “…We benchmark the efficacy of several novel orthogonal, symmetric, dilation-3 wavelets, derived from a unitary circuit based construction, towards image…”
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    Journal Article
  17. 17

    Implicitly disentangled renormalization by Evenbly, Glen

    Published 18-07-2017
    “…We propose a new implementation of real-space renormalization group (RG) transformations for quantum states on a lattice. Key to this approach is the removal…”
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    Journal Article
  18. 18

    Hyper-invariant tensor networks and holography by Evenbly, Glen

    Published 13-04-2017
    “…Phys. Rev. Lett. 119, 141602 (2017) We propose a new class of tensor network state as a model for the AdS/CFT correspondence and holography. This class is…”
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    Journal Article
  19. 19

    Improving the efficiency of variational tensor network algorithms by Evenbly, Glen, Pfeifer, Robert N. C.

    “…We present several results relating to the contraction of generic tensor networks and discuss their application to the simulation of quantum many-body systems…”
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    Journal Article
  20. 20

    Algorithms for tensor network renormalization by Evenbly, Glen

    Published 24-09-2015
    “…Phys. Rev. B 95, 045117 (2017) We discuss in detail algorithms for implementing tensor network renormalization (TNR) for the study of classical statistical and…”
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    Journal Article