State estimation in quantum homodyne tomography with noisy data

Abstract

In the framework of noisy quantum homodyne tomography with efficiency parameter $0 < η\leq 1$, we propose two estimators of a quantum state whose density matrix elements $ρ_{m,n}$ decrease like $e^{-B(m+n)^{r/ 2}}$, for fixed known $B>0$ and $0<r\leq 2$. The first procedure estimates the matrix coefficients by a projection method on the pattern functions (that we introduce here for $0<η\leq 1/2$), the second procedure is a kernel estimator of the associated Wigner function. We compute the convergence rates of these estimators, in $\mathbb{L}_2$ risk.