Direct characterization of quantum dynamics: General theory
Masoud Mohseni, Daniel A. Lidar · Physical Review A · 2007
The characterization of the dynamics of quantum systems is a task of both fundamental and practical importance. A general class of methods which have been developed in quantum information theory to accomplish this task is known as quantum process tomography (QPT). In an earlier paper [M. Mohseni and D. A. Lidar Phys. Rev. Lett. 97, 170501 (2006)] we presented an algorithm for direct characterization of quantum dynamics (DCQD) of two-level quantum systems. Here we provide a generalization by developing a theory for direct and complete characterization of the dynamics of arbitrary quantum systems. In contrast to other QPT schemes, DCQD relies on quantum error-detection techniques and does not require any quantum state tomography. We demonstrate that for the full characterization of the dynamics of $n$ $d$-level quantum systems (with $d$ prime), the minimal number of required experimental configurations is reduced quadratically from ${d}^{4n}$ in separable QPT schemes to ${d}^{2n}$ in DCQD.