• DocumentCode
    2666565
  • Title

    Minimum-error quantum state discrimination based on semidefinite programming

  • Author

    Wengang, Wang ; Guohua, Dong ; Mingshan, Li

  • Author_Institution
    Dept. of Autom. Control, Nat. Univ. of Defense Technol., Changsha
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    521
  • Lastpage
    524
  • Abstract
    In this paper we consider the general problem of designing the optimal quantum detection for minimum-error quantum state discrimination. Since it is hard to get an explicit solution and we must resort to numerical methods for the general case. We show the problem can be cast into a semidefinite programming(SDP) problem, we use the theory of SDP to solve it. Based on the idea, we propose a method for minimum-error discrimination by formulating the design of optimal quantum detection as a standard SDP problem; furthermore, based on the optimality conditions for SDP, we derive a set of optimality conditions for quantum detection. It is exemplified that this method is simple to implement and can be used to design optimum detection operators for minimum-error discrimination efficiently.
  • Keywords
    quantum computing; software packages; minimum-error quantum state discrimination; optimal quantum detection; optimality conditions; semidefinite programming; Automatic programming; Decoding; Iterative algorithms; Lagrangian functions; Polynomials; Quantum mechanics; Transmitters; Minimum-error discrimination; Quantum states; Semidefinite programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2008. CCC 2008. 27th Chinese
  • Conference_Location
    Kunming
  • Print_ISBN
    978-7-900719-70-6
  • Electronic_ISBN
    978-7-900719-70-6
  • Type

    conf

  • DOI
    10.1109/CHICC.2008.4605546
  • Filename
    4605546