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Model of Quantum Computing in the Cloud: The Relativistic Vision Applied in Corporate Networks

By Chau Sen Shia, Mario Mollo Neto and Oduvaldo Vendrametto

Abstract

Cloud computing has is one of the subjects of interest to information technology professionals and to\ud organizations when the subject covers financial economics and return on investment for companies. This work\ud aims to present as a contribution proposing a model of quantum computing in the cloud using the relativistic\ud physics concepts and foundations of quantum mechanics to propose a new vision in the use of virtualization\ud environment in corporate networks. The model was based on simulation and testing of connection with\ud providers in virtualization environments with Datacenters and implementing the basics of relativity and\ud quantum mechanics in communication with networks of companies, to establish alliances and resource sharing\ud between the organizations. The data were collected and then were performed calculations that demonstrate and\ud identify connections and integrations that establish relations of cloud computing with the relativistic vision, in\ud such a way that complement the approaches of physics and computing with the theories of the magnetic field\ud and the propagation of light. The research is characterized as exploratory, because searches check physical\ud connections with cloud computing, the network of companies and the adhesion of the proposed model. Were\ud presented the relationship between the proposal and the practical application that makes it possible to describe\ud the results of the main features, demonstrating the relativistic model integration with new technologies of\ud virtualization of Datacenters, and optimize the resource with the propagation of light, electromagnetic waves,\ud simultaneity, length contraction and time dilation.\u

Topics: - Virtualization, Datacenters, Relativity, Quantum Mechanics, Corporate Networks., Engineering (General). Civil engineering (General), TA1-2040, Technology, T
Publisher: American Journal of Engineering Research
Year: 2016
OAI identifier: oai:doaj.org/article:3b713223d7544689ae3404d2929b0262
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