Industrial Automatic Control Systems and Controllers Annotation << Back Creation and Training of Quantum Neural Networks Based on Grover’s Algorithm Ts.B. Pronin, A.V. Ostroukh This paper discusses the possibility of creating quantum neural networks trained using Grover’s algorithm. The purpose of this work is to combine the learning process of the neural network, produced using Grover’s algorithm, and the functional structure of the neural network, interpreted as a quantum circuit. As a simple example of a neural network, to consider the concept, a perceptron was proposed with one learning parameter – the weight of a synapse entering a hidden neuron. Keywords: quantum neural networks; machine learning; Grover’s algorithm; quantum algorithms; quantum computing; neural networks. DOI: 10.25791/asu.11.2021.1328 Pp. 39-43.