Literature DB >> 19518930

Most quantum States are too entangled to be useful as computational resources.

D Gross1, S T Flammia, J Eisert.   

Abstract

It is often argued that entanglement is at the root of the speedup for quantum compared to classical computation, and that one needs a sufficient amount of entanglement for this speedup to be manifest. In measurement-based quantum computing, the need for a highly entangled initial state is particularly obvious. Defying this intuition, we show that quantum states can be too entangled to be useful for the purpose of computation, in that high values of the geometric measure of entanglement preclude states from offering a universal quantum computational speedup. We prove that this phenomenon occurs for a dramatic majority of all states: the fraction of useful n-qubit pure states is less than exp(-n;{2}). This work highlights a new aspect of the role entanglement plays for quantum computational speedups.

Entities:  

Year:  2009        PMID: 19518930     DOI: 10.1103/PhysRevLett.102.190501

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


  4 in total

1.  The generation of continuous-variable entanglement frequency comb.

Authors:  Youbin Yu; Xiaomin Cheng; Huaijun Wang; Zhongtao Shi; Junwei Zhao; Fengmin Ji; Zhi Yin; Yajuan Wang
Journal:  Sci Rep       Date:  2015-01-20       Impact factor: 4.379

2.  Multimode entanglement in reconfigurable graph states using optical frequency combs.

Authors:  Y Cai; J Roslund; G Ferrini; F Arzani; X Xu; C Fabre; N Treps
Journal:  Nat Commun       Date:  2017-06-06       Impact factor: 14.919

3.  Barren plateaus in quantum neural network training landscapes.

Authors:  Jarrod R McClean; Sergio Boixo; Vadim N Smelyanskiy; Ryan Babbush; Hartmut Neven
Journal:  Nat Commun       Date:  2018-11-16       Impact factor: 14.919

4.  Generic Entanglement Entropy for Quantum States with Symmetry.

Authors:  Yoshifumi Nakata; Mio Murao
Journal:  Entropy (Basel)       Date:  2020-06-19       Impact factor: 2.524

  4 in total

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