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Admissible Solution

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Augusto Ferrante – One of the best experts on this subject based on the ideXlab platform.

  • Minimal resources identifiability and estimation of quantum channels
    Quantum Information Processing, 2014
    Co-Authors: Mattia Zorzi, Francesco Ticozzi, Augusto Ferrante

    Abstract:

    We characterize and discuss the identifiability condition for quantum process tomography, as well as the minimal experimental resources that ensure a unique Solution in the estimation of quantum channels, with both direct and convex optimization methods. A convenient parametrization of the constrained set is used to develop a globally converging Newton-type algorithm that ensures a physically Admissible Solution to the problem. Numerical simulation is provided to support the results and indicate that the minimal experimental setting is sufficient to guarantee good estimates.

  • CDC – Estimation of quantum channels: Identifiability and ML methods
    2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012
    Co-Authors: Mattia Zorzi, Francesco Ticozzi, Augusto Ferrante

    Abstract:

    We determine the minimal experimental resources that ensure a unique Solution in the estimation of trace-preserving quantum channels with both direct and convex optimization methods. A convenient parametrization of the constrained set is used to develop a globally converging Newton-type algorithm that ensures a physically Admissible Solution to the problem. Numerical simulations are provided to support the results, and indicate that the minimal experimental setting is sufficient to guarantee good estimates.

  • On Quantum Channel Estimation with Minimal Resources
    arXiv: Quantum Physics, 2011
    Co-Authors: Mattia Zorzi, Francesco Ticozzi, Augusto Ferrante

    Abstract:

    We determine the minimal experimental resources that ensure a unique Solution in the estimation of trace-preserving quantum channels with both direct and convex optimization methods. A convenient parametrization of the constrained set is used to develop a globally converging Newton-type algorithm that ensures a physically Admissible Solution to the problem. Numerical simulations are provided to support the results, and indicate that the minimal experimental setting is sufficient to guarantee good estimates.

Mattia Zorzi – One of the best experts on this subject based on the ideXlab platform.

  • Minimal resources identifiability and estimation of quantum channels
    Quantum Information Processing, 2014
    Co-Authors: Mattia Zorzi, Francesco Ticozzi, Augusto Ferrante

    Abstract:

    We characterize and discuss the identifiability condition for quantum process tomography, as well as the minimal experimental resources that ensure a unique Solution in the estimation of quantum channels, with both direct and convex optimization methods. A convenient parametrization of the constrained set is used to develop a globally converging Newton-type algorithm that ensures a physically Admissible Solution to the problem. Numerical simulation is provided to support the results and indicate that the minimal experimental setting is sufficient to guarantee good estimates.

  • CDC – Estimation of quantum channels: Identifiability and ML methods
    2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012
    Co-Authors: Mattia Zorzi, Francesco Ticozzi, Augusto Ferrante

    Abstract:

    We determine the minimal experimental resources that ensure a unique Solution in the estimation of trace-preserving quantum channels with both direct and convex optimization methods. A convenient parametrization of the constrained set is used to develop a globally converging Newton-type algorithm that ensures a physically Admissible Solution to the problem. Numerical simulations are provided to support the results, and indicate that the minimal experimental setting is sufficient to guarantee good estimates.

  • On Quantum Channel Estimation with Minimal Resources
    arXiv: Quantum Physics, 2011
    Co-Authors: Mattia Zorzi, Francesco Ticozzi, Augusto Ferrante

    Abstract:

    We determine the minimal experimental resources that ensure a unique Solution in the estimation of trace-preserving quantum channels with both direct and convex optimization methods. A convenient parametrization of the constrained set is used to develop a globally converging Newton-type algorithm that ensures a physically Admissible Solution to the problem. Numerical simulations are provided to support the results, and indicate that the minimal experimental setting is sufficient to guarantee good estimates.

Francesco Ticozzi – One of the best experts on this subject based on the ideXlab platform.

  • Minimal resources identifiability and estimation of quantum channels
    Quantum Information Processing, 2014
    Co-Authors: Mattia Zorzi, Francesco Ticozzi, Augusto Ferrante

    Abstract:

    We characterize and discuss the identifiability condition for quantum process tomography, as well as the minimal experimental resources that ensure a unique Solution in the estimation of quantum channels, with both direct and convex optimization methods. A convenient parametrization of the constrained set is used to develop a globally converging Newton-type algorithm that ensures a physically Admissible Solution to the problem. Numerical simulation is provided to support the results and indicate that the minimal experimental setting is sufficient to guarantee good estimates.

  • CDC – Estimation of quantum channels: Identifiability and ML methods
    2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012
    Co-Authors: Mattia Zorzi, Francesco Ticozzi, Augusto Ferrante

    Abstract:

    We determine the minimal experimental resources that ensure a unique Solution in the estimation of trace-preserving quantum channels with both direct and convex optimization methods. A convenient parametrization of the constrained set is used to develop a globally converging Newton-type algorithm that ensures a physically Admissible Solution to the problem. Numerical simulations are provided to support the results, and indicate that the minimal experimental setting is sufficient to guarantee good estimates.

  • On Quantum Channel Estimation with Minimal Resources
    arXiv: Quantum Physics, 2011
    Co-Authors: Mattia Zorzi, Francesco Ticozzi, Augusto Ferrante

    Abstract:

    We determine the minimal experimental resources that ensure a unique Solution in the estimation of trace-preserving quantum channels with both direct and convex optimization methods. A convenient parametrization of the constrained set is used to develop a globally converging Newton-type algorithm that ensures a physically Admissible Solution to the problem. Numerical simulations are provided to support the results, and indicate that the minimal experimental setting is sufficient to guarantee good estimates.