Literature DB >> 18851269

Class of quantum many-body states that can be efficiently simulated.

G Vidal1.   

Abstract

We introduce the multiscale entanglement renormalization ansatz, a class of quantum many-body states on a D-dimensional lattice that can be efficiently simulated with a classical computer, in that the expectation value of local observables can be computed exactly and efficiently. The multiscale entanglement renormalization ansatz is equivalent to a quantum circuit of logarithmic depth that has a very characteristic causal structure. It is also the ansatz underlying entanglement renormalization, a novel coarse-graining scheme for many-body quantum systems on a lattice.

Entities:  

Year:  2008        PMID: 18851269     DOI: 10.1103/PhysRevLett.101.110501

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  14 in total

1.  Benchmarking treewidth as a practical component of tensor network simulations.

Authors:  Eugene F Dumitrescu; Allison L Fisher; Timothy D Goodrich; Travis S Humble; Blair D Sullivan; Andrew L Wright
Journal:  PLoS One       Date:  2018-12-18       Impact factor: 3.240

2.  Scale-Invariant Continuous Entanglement Renormalization of a Chern Insulator.

Authors:  Su-Kuan Chu; Guanyu Zhu; James R Garrison; Zachary Eldredge; Ana Valdés Curiel; Przemyslaw Bienias; I B Spielman; Alexey V Gorshkov
Journal:  Phys Rev Lett       Date:  2019-03-29       Impact factor: 9.161

3.  Mutual Information Scaling for Tensor Network Machine Learning.

Authors:  Ian Convy; William Huggins; Haoran Liao; K Birgitta Whaley
Journal:  Mach Learn Sci Technol       Date:  2022-01-20

4.  Scaling Limits of Lattice Quantum Fields by Wavelets.

Authors:  Vincenzo Morinelli; Gerardo Morsella; Alexander Stottmeister; Yoh Tanimoto
Journal:  Commun Math Phys       Date:  2021-08-14       Impact factor: 2.386

5.  Realizing quantum convolutional neural networks on a superconducting quantum processor to recognize quantum phases.

Authors:  Johannes Herrmann; Sergi Masot Llima; Ants Remm; Petr Zapletal; Nathan A McMahon; Colin Scarato; François Swiadek; Christian Kraglund Andersen; Christoph Hellings; Sebastian Krinner; Nathan Lacroix; Stefania Lazar; Michael Kerschbaum; Dante Colao Zanuz; Graham J Norris; Michael J Hartmann; Andreas Wallraff; Christopher Eichler
Journal:  Nat Commun       Date:  2022-07-16       Impact factor: 17.694

6.  Fast Quantum State Transfer and Entanglement Renormalization Using Long-Range Interactions.

Authors:  Zachary Eldredge; Zhe-Xuan Gong; Jeremy T Young; Ali Hamed Moosavian; Michael Foss-Feig; Alexey V Gorshkov
Journal:  Phys Rev Lett       Date:  2017-10-25       Impact factor: 9.161

7.  Tree Tensor Network State with Variable Tensor Order: An Efficient Multireference Method for Strongly Correlated Systems.

Authors:  V Murg; F Verstraete; R Schneider; P R Nagy; Ö Legeza
Journal:  J Chem Theory Comput       Date:  2015-03-10       Impact factor: 6.006

8.  Optimal free descriptions of many-body theories.

Authors:  Christopher J Turner; Konstantinos Meichanetzidis; Zlatko Papić; Jiannis K Pachos
Journal:  Nat Commun       Date:  2017-04-05       Impact factor: 14.919

9.  Validating quantum-classical programming models with tensor network simulations.

Authors:  Alexander McCaskey; Eugene Dumitrescu; Mengsu Chen; Dmitry Lyakh; Travis Humble
Journal:  PLoS One       Date:  2018-12-10       Impact factor: 3.240

10.  Holography and criticality in matchgate tensor networks.

Authors:  A Jahn; M Gluza; F Pastawski; J Eisert
Journal:  Sci Adv       Date:  2019-08-09       Impact factor: 14.136

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