• DocumentCode
    2568041
  • Title

    Optimal control equation for quantum stochastic differential equations

  • Author

    Sharifi, J. ; Momeni, H.

  • Author_Institution
    Electr. Eng. Dept., Tarbiat Modares Univ., Tehran, Iran
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    4839
  • Lastpage
    4844
  • Abstract
    Interaction of open quantum systems with fundamental noncommutative quantum noises can be described by quantum stochastic differential equations (QSDE). These equations have a key role in quantum network analysis and design, especially for quantum information processing. Hence, in this paper, we derive a Hamilton-Jacobi-Bellman equation for quantum stochastic differential equations. The Bellman optimality principle is developed for open quantum systems. The cost functional of quantum observable to be minimized is considered to be general noncommutative polynomial of quantum operator. Since the method directly deals with QSDE, then it is a useful tool for optimal control of quantum optical networks. In addition, we will exhibit some electro-optical and all-optical feedback control schematics for implementation of quantum control based on QSDEs.
  • Keywords
    Bell theorem; differential equations; feedback; optical control; optimal control; polynomials; quantum computing; quantum optics; stochastic processes; Bellman optimality principle; Hamilton-Jacobi-Bellman equation; QSDE; all-optical feedback control schematics; cost functional; electro-optical control; fundamental noncommutative quantum noises; general noncommutative polynomial; open quantum systems; optimal control equation; quantum control; quantum information processing; quantum network analysis; quantum network design; quantum observable; quantum operator; quantum optical networks; quantum stochastic differential equations; Atom optics; Cavity resonators; Mathematical model; Optical feedback; Polynomials; Quantum mechanics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2010 49th IEEE Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4244-7745-6
  • Type

    conf

  • DOI
    10.1109/CDC.2010.5717172
  • Filename
    5717172