КВАНТОВОЕ ГЛУБОКОЕ ОБУЧЕНИЕ СВЁРТОЧНОЙ НЕЙРОННОЙ СЕТИ С ИСПОЛЬЗОВАНИЕМ ВАРИАЦИОННОЙ КВАНТОВОЙ СХЕМЫ

Abstract

Quantum computing in general and quantum deep learning represent a promising field relatedto the research of modern methods and algorithms of quantum computing used for the purposeof teaching and developing new architectures of artificial neural networks. Recently, therehas been a trend that research conducted in the field of quantum deep learning is becoming increasinglywidespread among specialists. This can be explained by the fact that it has been establishedthat quantum circuits are capable of functioning like artificial neural networks, whiledemonstrating the best results in solving several tasks, including, for example, the actual task ofclassifying objects in an image or in a video stream. Thanks to the rapid development of quantumcomputing in the field of deep learning, optimal solutions have been found for such urgent problemsas the vanishing gradient problem, finding a local minimum, improving the efficiency oflarge-scale parametric machine learning algorithms, eliminating decoherence and quantum errors,etc. Within the framework of this work, the process of functioning of a quantum variationalscheme is described, its main characteristics are established, and disadvantages are identified.The key features of quantum computing, on which the process of implementing quantum deeplearning with the reinforcement of a convolutional neural network is based, are also analyzed. Inaddition, quantum deep learning of a convolutional neural network has been carried out using avariational quantum scheme, which leads to an increase in the performance of a convolutionalneural network in solving the problem of image processing, namely its classification, using aquantum computing environment. The relevance of this article consists in the implementation of aquantum deep learning algorithm with the reinforcement of a convolutional neural network forimage processing, as well as the great importance of the subject of this study for the future developmentof quantum computing devices that can be used in artificial intelligence systems, etc.,which corresponds to the priority direction of the development of domestic science.