Journal
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 534, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.physa.2019.122168
Keywords
Lambert-Tsallis W-q function; Quantum relative disentropy; Radial basis function network
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Funding
- CAPES [001]
- CNPq [307184/2018-8]
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The present work brings two applications of the Lambert-Tsallis W-q function in radial basis function networks (RBFN). Initially, an RBFN is used to discriminate between entangled and disentangled bipartite of qubit states. The kernel used is based on the Lambert-Tsallis W-q function for q is an element of [1/2, 3/2, 2) and the quantum relative disentropy is used as a distance measure between quantum states. Entangled states with concurrence larger than 0.1 were correctly classified by the proposed RBFN in at least 97% of the cases. Following, a RBFN with the same kernel is used to estimate the probability density function of a set of data sampled according to Normal and Cauchy distributions. (C) 2019 Elsevier B.V. All rights reserved.
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