• DocumentCode
    179839
  • Title

    Blind qubit state disentanglement with Quantum processing: Principle, criterion and algorithm using measurements along two directions

  • Author

    Deville, Yannick ; Deville, Alain

  • Author_Institution
    IRAP, Univ. de Toulouse, Toulouse, France
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    6221
  • Lastpage
    6225
  • Abstract
    In the framework of Blind Quantum Source Separation, we investigate the adaptation of a separating system which receives coupled quantum bit (qubit) states and processes them with quantum means in its feedforward path, to uncouple them. We propose the first separation principle which ensures that the output qubit states of this system are disentangled and that they restore the non-entangled source qubit states up to limited indeterminacies. This separation principle exploits measurements of output spin components along two directions and has some links with the non-quantum Independent Component Analysis (ICA) principle. It opens the way to various practical separation criteria and algorithms, some of which are described here.
  • Keywords
    blind source separation; independent component analysis; quantum computing; quantum entanglement; signal restoration; ICA; blind quantum source separation; blind qubit state disentanglement; coupled quantum bit states; feedforward path; first separation principle; nonentangled source qubit state restoration; nonquantum independent component analysis principle; output qubit states; output spin component measurements; quantum processing; Couplings; Feedforward neural networks; Independent component analysis; Signal processing algorithms; Source separation; Vectors; blind source separation; entanglement; independent component analysis; quantum bit (qubit); unsupervised learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854800
  • Filename
    6854800