• Login
    View Item 
    •   SOAR Home
    • Engineering
    • Electrical Engineering and Computer Science
    • EECS Faculty Scholarship
    • EECS Research Publications
    • View Item
    •   SOAR Home
    • Engineering
    • Electrical Engineering and Computer Science
    • EECS Faculty Scholarship
    • EECS Research Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Mirror inverse operations in linear nearest neighbors using dynamic learning algorithm

    Date
    2016-01
    Author
    Garigipati, Rudrayya Chowdary
    Kumar, Preethika
    Metadata
    Show full item record
    Citation
    Garigipati, R.C.; Kumar, P., "Mirror Inverse Operations in Linear Nearest Neighbors Using Dynamic Learning Algorithm," in Neural Networks and Learning Systems, IEEE Transactions on , vol.27, no.1, pp.202-207, Jan. 2016
    Abstract
    We propose a new method to implement mirror inverse gate operations in 1-D linear nearest neighbor (LNN) array coupled through diagonal interactions, using a dynamic learning algorithm. This is accomplished by training a quantum system using a backpropagation technique, to find the parameters of the system Hamiltonian that implement the mirror inverse operation. We show how the training algorithm can be used as a tool for finding the parameters for implementing mirror inverse operations in LNN systems with increasing number of qubits. The key feature of our scheme is that once we find the system parameters using the learning algorithm, mirror inversion (MI) is accomplished simply by tuning the system parameters to these values and allowing the system to evolve for a chosen time interval. To validate our scheme, we compare our results against known results for an LNN system coupled through XY interactions. We also show how the scheme can be used to implement MI operations in the presence of unwanted couplings.
    Description
    Click on the DOI link to access the article (may not be free).
    URI
    http://dx.doi.org/10.1109/TNNLS.2015.2399399
    http://hdl.handle.net/10057/11719
    Collections
    • EECS Research Publications [530]

    SOAR is a service of Wichita State University Libraries
    Contact Us | Send Feedback
    Site statistics 
     

     

    Browse

    All of SOARCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypeThis CollectionBy Issue DateAuthorsTitlesSubjectsType

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    SOAR is a service of Wichita State University Libraries
    Contact Us | Send Feedback
    Site statistics