Redes Neurais Quânticas e Ensino de Aspectos Básicos da Mecânica Quântica
Alejandra León, Martín Arias, Juan Giraldo +1 more
The teaching of physics is currently linked to the developments that occur in the field of computing; therefore, it cannot be ignored that new technologies are being developed from neural networks and evolving in terms of artificial intelligence. Physics has adopted these systems in order to be able to perform data processing, system analysis, image processing and signal classification in a more optimal way, which are applied in areas such as optics, astronomy, quantum mechanics, among others. In parallel, a relationship has been created between neural networks and quantum computing, for which this document seeks to investigate and delve into these structures and identify the links with quantum formalism. The established roadmap is developed from the construction and analysis of neural network algorithms, which are based on two main components, the activation functions and the self-regulation of statistical weights that structure the bases of machine learning, which allows multidisciplinary research between computational physics and quantum mechanics for the optimization and evolution of the concept of "classical" neural network, affirming to date the inexistence of a quantum system of the neural network, but the conceptual and mathematical association bases for the future development of the concept of the quantum neural network, in this way, based on the use of fundamental concepts of quantum mechanics, it is possible to blur the abstract nature of said physical theory and reflect the applicability in machine learning, a potential field for the development of artificial intelligence.
Gondola/Góndola, enseñanza y aprendizaje de las ciencias•Oct 10, 2023•0 citations