The revolution in artificial intelligence. From classical to quantum

Abstract

This article focuses on the transformation of artificial intelligence (AI) from its beginnings in classical paradigms to its contemporary development in the context of quantum computing. As artificial intelligence has evolved, it has proven to be an essential tool in various sectors, from health going through education to finance. The main purpose of this article is to explore the evolution of artificial intelligence from its classical foundations to emerging innovations in quantum computing. This is a qualitative research, framed in a methodology of a type of documentary study, using the technique of documentary review, which consisted of a critical and systematic analysis of previously prepared documents, with the purpose of extracting pertinent and relevant information, making it possible to detail the analyzed phenomenon by characterizing this technology. One of the main findings emanating from this research reveals that quantum algorithms can perform computational tasks that, in their classical version, would consume an exorbitant amount of time. This way, it is concluded that the integration of quantum computing into artificial intelligence is not only viable, but could also mark a before and after in the field. However, the need to continue researching the practical implementation and scalability of these technologies is emphasized so that their potential is fully realized, opening a new horizon for the development of innovative solutions in the different disciplines of science, technology and scientific research.