2009/06/17 by Masoud Mohseni, M. Mohseni, A. T. Rezakhani +6 · 15 citations
Computer Science · Mathematics · Physics and Astronomy · #Algorithm #Computer science #Generalization #Imperfect #Inversion (geology) #Mathematics #Overhead (engineering) #Physics #Process (computing) #Quantum #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Mechanics and Applications #Quantum dynamics #Quantum mechanics #Quantum process #Statistical physics #quant-ph
paper · pdf · doi:10.1103/physreva.81.032102
published in Physical Review A 81(3) (American Physical Society) · 7 pages, 2 figures
arxiv created 2009/06/17 · openalex publication_date 2010/03/03 · arxiv updated 2010/03/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Performance of quantum process estimation is naturally limited by fundamental, random, and systematic imperfections of preparations and measurements. These imperfections may lead to considerable errors in the process reconstruction because standard data-analysis techniques usually presume ideal devices. Here, by utilizing generic auxiliary quantum or classical correlations, we provide a framework for the estimation of quantum dynamics via a single measurement apparatus. By construction, this approach can be applied to quantum tomography schemes with calibrated faulty-state generators and analyzers. Specifically, we present a generalization of the work begun by M. Mohseni and D. A. Lidar [Phys. Rev. Lett. 97, 170501 (2006)] with an imperfect Bell-state analyzer. We demonstrate that for several physically relevant noisy preparations and measurements, classical correlations and a small data-processing overhead suffice to accomplish the full system identification. Furthermore, we provide the optimal input states whereby the error amplification due to inversion of the measurement data is minimal.