Radial basis function network using Lambert–Tsallis Wq function

J.L.M. da Silva, F.V. Mendes and R.V. Ramos

Physica A: Statistical Mechanics and its Applications, 2019, vol. 534, issue C

Abstract: The present work brings two applications of the Lambert–Tsallis Wq 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 Wq function for q∈{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.

Keywords: Lambert–Tsallis Wq function; Quantum relative disentropy; Radial basis function network (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:534:y:2019:i:c:s0378437119312579

DOI: 10.1016/j.physa.2019.122168

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