This work presents relations using the Lambert-Tsallis function W q (x) that provide
geometric characteristics in classical and quantum information theory. Firstly, the W q (x) …

The numerical generation of random quantum states (RQS) is an important procedure for
investigations in quantum information science. Here, we review some methods that may be …

We develop a fast algorithm to calculate the entanglement of formation of a mixed state,
which is defined as the minimum average entanglement of the pure states that form the …

Aiming at the shortcoming of ant colony optimization of being only suitable for discrete
problems and holding a slow convergence speed, a novel algorithm for continuous …

We solve a number of problems in quantum computing by applying genetic algorithms. We
use the bitset class of C++ to represent any data type for genetic algorithms. Thus we have a …

The generation of pseudo-random discrete probability distributions is of paramount
importance for a wide range of stochastic simulations spanning from Monte Carlo methods …

The genetic algorithms in the variant developed earlier and in that improved by the
mechanism of niches have been exploited in the analysis of global and local minima of the …

Entanglement generation and variation in quantum computation is studied using a quantum
computer simulator. The simulator is described and its block diagram is presented. The use …