АНАЛІЗ СЕМАНТИЧНИХ ОБРАЗІВ У МАСИВАХ ТЕКСТОВИХ ОБ’ЄКТІВ ЗА ДОПОМОГОЮ КВАНТОВИХ ОБЧИСЛЕНЬ
The analysis of semantic patterns in the text objects arrays using Grover algorithms elements has been performed. It is shown that implementation of quantum algorithms for some classes of problems gives the ability to decrease required memory exponentially and decrease the time of algorithm performance polynomial in comparison with the classical algorithms due to quantum parallelism.