We propose and investigate a new method of quantum process tomography (QPT) which we call projected least squares (PLS). In short, PLS consists first computing the least-squares estimator Choi matrix an unknown channel, subsequently projecting it onto convex set matrices. consider four experimental setups including direct QPT with Pauli eigenvectors as input measurements, ancilla-assisted mutua...

A function based nonlinear least squares estimation (FNLSE) method is proposed and investigated in parameter estimation of Jelinski–Moranda software reliability model. FNLSE extends the potential fitting functions of traditional least squares estimation (LSE), and takes the logarithm transformed nonlinear least squares estimation (LogLSE) as a special case. A novel power transformation function...