Efficiently estimating properties of large and strongly coupled quantum systems is a central focus in many-body physics information theory. While computers promise speedups for many such tasks, near-term devices are prone to noise that will generally reduce the accuracy estimates. Here we show how mitigate errors shadow estimation protocol recently proposed by Huang, Kueng, Preskill. By adding ...

in the several past years, extended kalman filter (ekf) and unscented kalman filter (ukf) havebecame basic algorithm for state-variables and parameters estimation of discrete nonlinear systems.the ukf has consistently outperformed for estimation. sometimes least estimation error doesn't yieldwith ukf for the most nonlinear systems. in this paper, we use a new approach for a two variablesta...

To obtain the accurate transient states of big scale natural gas pipeline networks under bad data and non-zero mean noises conditions, a robust Kalman filter-based dynamic state estimation method is proposed using linearized flow equations in this paper. Firstly, model built. Since are less than states, boundary conditions used as supplementary constraints to predict states. increase measuremen...

The problem of finding H ∞ – a observer the state vector linear continuous non-stationary dynamical system with semi-infinite time functioning is considered. It assumed that mathematical model closed-loop deterministic an optimal regulator, found as result minimization quadratic quality criterion, known. For solving synthesis reduction to min-max control used. In this problem, minimum criterion...