2006/01/31 by Masoud Mohseni, M. Mohseni, Daniel A. Lidar +1 · 61 citations
Computer Science · Mathematics · Physics and Astronomy · #Characterization (materials science) #Computer science #Mathematics #Open quantum system #Physics #Quantum #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Mechanics and Applications #Quantum algorithm #Quantum dynamics #Quantum mechanics #Quantum process #Quantum state #Quantum system #Quantum tomography #quant-ph
paper · pdf · doi:10.1103/physreva.75.062331
published in Physical Review A 75(6) (American Physical Society) · 17 pages, 6 figures, minor modifications are made
arxiv created 2007/03/28 · openalex publication_date 2007/06/26 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
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 d4n in separable QPT schemes to d2n in DCQD.