• DocumentCode
    116032
  • Title

    Indirect control invariance of Decoherence-Splitting Manifold (DSM)

  • Author

    Jonckheere, E. ; Shabani, A. ; Rezakhani, A.T.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    5794
  • Lastpage
    5801
  • Abstract
    Quantum coherence of open quantum systems is usually compromised because of the interaction with the ambient environment. Here, we introduce the concept of Decoherence Splitting Manifold (DSM), a submanifold of the space of density operators, wherein the system´s density matrix clearly exhibits a splitting between a unitarily evolving subdensity corresponding to some given set of its eigenvalues, which we aim to preserve, and another subdensity, in which eigenvalues are not preserved. The eigenspace of the eigenvalues that are preserved provides the concept of (time-varying) Decoherence Protected Subspace (DPS), a concept that subtlety differs from the (time-varying) Decoherence Free Subspace (DFS) in the way the protected subspace is embedded in the full Hilbert space. With the DSM concept, the DPS is reformulated as a complex vector bundle over the DSM. In the absence of the traditional DFS, looking for less restrictive spaces and/or utilizing quantum control may help generate and/or retain a decoherence-free subevolution. This is achieved by searching for a DSM whose tangent bundle distribution is invariant under indirect control of an auxiliary qubit.
  • Keywords
    Hilbert spaces; eigenvalues and eigenfunctions; quantum computing; DFS concept; DPS concept; DSM concept; Hilbert space; auxiliary qubit; decoherence free subspace; decoherence protected subspace; decoherence-free subevolution; decoherence-splitting manifold; density matrix; density operators; eigenspace; eigenvalues; indirect control invariance; open quantum systems; quantum coherence; vector bundle; Couplings; Eigenvalues and eigenfunctions; Manifolds; Mathematical model; Polynomials; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7040296
  • Filename
    7040296