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    Power of a shared singlet state in comparison to a shared reference frame

    , Article Physical Review A ; Volume 100, Issue 2 , 2019 ; 24699926 (ISSN) Rezazadeh, F ; Mani, A ; Karimipour, V ; Sharif University of Technology
    American Physical Society  2019
    Abstract
    We show that a shared singlet state (SSS) can supersede a shared reference frame (SRF) in certain quantum communication tasks, i.e., tasks in which two remote players are required to estimate certain parameters of a two-particle state sent to them. This shows that task-specific values of resources may be somewhat different from their common values based on their exchange possibilities. © 2019 American Physical Society. ©2019 American Physical Society  

    A neural network applied to estimate Burr XII distribution parameters

    , Article Reliability Engineering and System Safety ; Volume 95, Issue 6 , June , 2010 , Pages 647-654 ; 09518320 (ISSN) Abbasi, B ; Hosseinifard, S. Z ; Coit, D. W ; Sharif University of Technology
    2010
    Abstract
    The Burr XII distribution can closely approximate many other well-known probability density functions such as the normal, gamma, lognormal, exponential distributions as well as Pearson type I, II, V, VII, IX, X, XII families of distributions. Considering a wide range of shape and scale parameters of the Burr XII distribution, it can have an important role in reliability modeling, risk analysis and process capability estimation. However, estimating parameters of the Burr XII distribution can be a complicated task and the use of conventional methods such as maximum likelihood estimation (MLE) and moment method (MM) is not straightforward. Some tables to estimate Burr XII parameters have been... 

    A new approach to extreme event prediction and mitigation via Markov-model-based chaos control

    , Article Chaos, Solitons and Fractals ; Volume 136 , 2020 Kaveh, H ; Salarieh, H ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    Despite that the border between chaotic and stochastic systems is exactly defined, scientists, use high dimensional chaotic dynamics to model numerous stochastic models and sometimes use stochastic models to study chaotic systems. In this paper, we have investigated chaotic systems with a stochastic approach and proposed an estimator for the chaotic system which is used to present different algorithms for chaos control, extreme event prediction and extreme event mitigation. The stochastic estimator is constructed by meshing the phase space and applying the cell mapping method (with some considerations) which provides us with a model-free approximation of the systems. The algorithms are ideal...