Resultats globals: 3 registres trobats en 0.02 segons.
Articles, 2 registres trobats
Llibres i col·leccions, 1 registres trobats
Articles 2 registres trobats  
1.
18 p, 221.7 KB Optimal full estimation of qubit mixed states / Bagán Capella, Emili (Universitat Autònoma de Barcelona. Departament de Física) ; Ballester, M. A. (University of Utrecht. Department of Mathematics) ; Gill, R. D. (University of Utrecht. Department of Mathematics) ; Monras Blasi, Àlex (Universitat Autònoma de Barcelona. Departament de Física) ; Muñoz Tapia, Ramon (Universitat Autònoma de Barcelona. Departament de Física) ; American Physical Society
We obtain the optimal scheme for estimating unknown qubit mixed states when an arbitrary number N of identically prepared copies is available. We discuss the case of states in the whole Bloch sphere as well as the restricted situation where these states are known to lie on the equatorial plane. [...]
2006 - 10.1103/PhysRevA.73.032301
Physical review. A, Vol. 73, Issue 3 (March 2006) , p. 032301-1-32301-18  
2.
7 p, 149.9 KB Phase variance of squeezed vacuum states / Bagán Capella, Emili (Universitat Autònoma de Barcelona. Departament de Física) ; Monras Blasi, Àlex (University of Leeds. The School of Physics and Astronomy) ; Muñoz Tapia, Ramon (Universitat Autònoma de Barcelona. Departament de Física) ; American Physical Society
We consider the problem of estimating the phase of squeezed vacuum states within a Bayesian framework. We derive bounds on the average Holevo variance for an arbitrary number N of uncorrelated copies. [...]
2008 - 10.1103/PhysRevA.78.043829
Physical review. A, Vol. 78, Issue 4 (October 2008) , p. 043829-1-043829-7  

Llibres i col·leccions 1 registres trobats  
1.
11 p, 443.2 KB Quantum learning of classical stochastic processes : The completely-positive realization problem / Monras Blasi, Àlex (Universitat Autònoma de Barcelona. Departament de Física) ; Winter, Andreas (Universitat Autònoma de Barcelona. Departament de Física)
Among several tasks in Machine Learning, is the problem of inferring the latent variables of a system and their causal relations with the observed behavior. A paradigmatic instance of such problem is the task of inferring the Hidden Markov Model underlying a given stochastic process. [...]
Dagstuhl : Leibniz-Zentrum fuer Informatik, 2014 (Leibniz International Proceedings in Informatics (LIPIcs) ; 27) - 10.4230/LIPIcs.TQC.2014.99
9th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2014), 2014, p. 99-109  

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