Literature DB >> 15323740

Efficient simulation of one-dimensional quantum many-body systems.

Guifré Vidal1.   

Abstract

We present a numerical method to simulate the time evolution, according to a generic Hamiltonian made of local interactions, of quantum spin chains and systems alike. The efficiency of the scheme depends on the amount of entanglement involved in the simulated evolution. Numerical analysis indicates that this method can be used, for instance, to efficiently compute time-dependent properties of low-energy dynamics in sufficiently regular but otherwise arbitrary one-dimensional quantum many-body systems. As by-products, we describe two alternatives to the density matrix renormalization group method. Copyright 2004 The American Physical Society

Year:  2004        PMID: 15323740     DOI: 10.1103/PhysRevLett.93.040502

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


  17 in total

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2.  Probing many-body dynamics on a 51-atom quantum simulator.

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Journal:  Nature       Date:  2017-11-29       Impact factor: 49.962

3.  Breaking the Entanglement Barrier: Tensor Network Simulation of Quantum Transport.

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Review 4.  Practical quantum advantage in quantum simulation.

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Journal:  Nature       Date:  2022-07-27       Impact factor: 69.504

5.  A quantum phase transition in a quantum external field: superposing two magnetic phases.

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Journal:  Sci Rep       Date:  2012-09-13       Impact factor: 4.379

6.  Localization and glassy dynamics of many-body quantum systems.

Authors:  Giuseppe Carleo; Federico Becca; Marco Schiró; Michele Fabrizio
Journal:  Sci Rep       Date:  2012-02-06       Impact factor: 4.379

7.  Expansion dynamics in a one-dimensional hard-core boson model with three-body interactions.

Authors:  Jie Ren; Yin-Zhong Wu; Xue-Fen Xu
Journal:  Sci Rep       Date:  2015-10-05       Impact factor: 4.379

8.  Universal order parameters and quantum phase transitions: a finite-size approach.

Authors:  Qian-Qian Shi; Huan-Qiang Zhou; Murray T Batchelor
Journal:  Sci Rep       Date:  2015-01-08       Impact factor: 4.379

9.  Challenges and constraints of dynamically emerged source and sink in atomtronic circuits: From closed-system to open-system approaches.

Authors:  Chen-Yen Lai; Chih-Chun Chien
Journal:  Sci Rep       Date:  2016-11-16       Impact factor: 4.379

10.  Efficient representation of quantum many-body states with deep neural networks.

Authors:  Xun Gao; Lu-Ming Duan
Journal:  Nat Commun       Date:  2017-09-22       Impact factor: 14.919

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