2011/03/31 by Michele Dall'Arno, Michele Dall’Arno, Giacomo Mauro D’Ariano +2 · 51 citations
Computer Science · Mathematics · Physics and Astronomy · #Additive function #Amplitude damping channel #Classical capacity #Computer science #Mathematical optimization #Mathematics #Maximization #Physics #Power (physics) #Quantum #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Mechanics and Applications #Quantum channel #Quantum information #Quantum mechanics #Quantum network #Statistical physics #quant-ph
paper · pdf · doi:10.1103/physreva.83.062304
published in Physical Review A 83(6) (American Physical Society) · 9 pages, 3 figures, added references, published version
arxiv created 2011/06/06 · openalex publication_date 2011/06/06 · arxiv updated 2015/05/27 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05
We introduce the informational power of a quantum measurement as the maximum amount of classical information that the measurement can extract from any ensemble of quantum states. We prove the additivity by showing that the informational power corresponds to the classical capacity of a quantum-classical channel. We restate the problem of evaluating the informational power as the maximization of the accessible information of a suitable ensemble. We provide a numerical algorithm to find an optimal ensemble and quantify the informational power.