Semidefinite programming applied to quantum state discrimination / Discriminação de estados quanticos via programação semidefinida

AUTOR(ES)
DATA DE PUBLICAÇÃO

2009

RESUMO

In this work, we propose a new algorithm to perform the optimal discrimination of N non-orthogonal pure quantum states. This algorithm obtains the best set of POVM measurements for the problem, through the extension of the Hilbert space of N to 2N-1 dimensions. The algorithm is based on semidefinite programming and on the solution of linear systems. The algorithm was implemented in Matlab and presented good computational results

ASSUNTO(S)

programação semidefinida quantum state discrimination sistemas lineares discriminação de estados quanticos semidefinite programming linear systems

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