English  |  正體中文  |  简体中文  |  Items with full text/Total items : 64191/96979 (66%)
Visitors : 8153364      Online Users : 7610
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/120601


    Title: Adaptive State Fidelity Estimation for Higher Dimensional Bipartite Entanglement
    Authors: Wu, Jun-Yi
    Keywords: adaptive state fidelity estimation;higher dimensional entanglement;Bell-type states
    Date: 2020-08-12
    Issue Date: 2021-04-22 12:10:41 (UTC+8)
    Abstract: An adaptive method for quantum state fidelity estimation in bipartite higher dimensional systems is established. This method employs state verifier operators which are constructed by local POVM operators and adapted to the measurement statistics in the computational basis. Employing this method, the state verifier operators that stabilize Bell-type entangled states are constructed explicitly. Together with an error operator in the computational basis, one can estimate the lower and upper bounds on the state fidelity for Bell-type entangled states in few measurement configurations. These bounds can be tighter than the fidelity bounds derived in [Bavaresco et al., Nature Physics (2018), 14, 1032–1037], if one constructs more than one local POVM measurements additional to the measurement in the computational basis.
    Relation: Entropy 22(8), 886
    DOI: 10.3390/e22080886
    Appears in Collections:[物理學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    Adaptive State Fidelity Estimation for Higher Dimensional Bipartite Entanglement.pdf457KbAdobe PDF117View/Open
    index.html0KbHTML97View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback