M
Matteo G. A. Paris
Researcher at University of Milan
Publications - 556
Citations - 15847
Matteo G. A. Paris is an academic researcher from University of Milan. The author has contributed to research in topics: Quantum & Quantum entanglement. The author has an hindex of 57, co-authored 537 publications receiving 13671 citations. Previous affiliations of Matteo G. A. Paris include Humboldt University of Berlin & Istituto Nazionale di Fisica Nucleare.
Papers
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Journal ArticleDOI
Quantum estimation for quantum technology
TL;DR: Several quantities of interest in quantum information, including entanglement and purity, are nonlinear functions of the density matrix and cannot, even in principle, correspond to proper quantum information as discussed by the authors.
Quantum estimation for quantum technology
TL;DR: Several quantities of interest in quantum information, including entanglement and purity, are nonlinear functions of the density matrix and cannot, even in principle, correspond to proper quantum information.
BookDOI
Quantum State Estimation
TL;DR: In this paper, a comprehensive survey of theoretical and experimental achievements in the field of quantum estimation of states and operations is presented, with twelve extensive lectures that are essentially self-contained and modular, allowing combination of various chapters as a basis for advanced courses.
Journal ArticleDOI
Gaussian quantum discord.
Paolo Giorda,Matteo G. A. Paris +1 more
TL;DR: This work extends the quantum discord to continuous variable systems and evaluates Gaussian quantum discord C(ϱ) for bipartite Gaussian states and explicitly maximize the extractable information over Gaussian measurements for squeezed-thermal states.
Journal ArticleDOI
Maximum-likelihood estimation of the density matrix
Konrad Banaszek,Konrad Banaszek,Giacomo Mauro D'Ariano,Matteo G. A. Paris,Massimiliano F. Sacchi +4 more
TL;DR: In this article, a universal technique for quantum-state estimation based on the maximum-likelihood method is presented, which provides a positive-definite estimate for the density matrix from a sequence of measurements performed on identically prepared copies of the system.