Instituto Internacional de Física

URI Permanente desta comunidadehttps://repositorio.ufrn.br/handle/123456789/30127

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Data-driven study of the COVID-19 pandemic via age-structured modelling and prediction of the health system failure in Brazil amid diverse intervention strategies
(Public Library of Science, 2020-07-30) Silva, Askery Alexandre Canabarro Barbosa da; Tenório, Elayne; Martins, Renato; Martins, Laís; Brito, Samuraí Gomes de Aguiar; Araújo, Rafael Chaves Souto
In this work we propose a data-driven age-structured census-based SIRD-like epidemiological model capable of forecasting the spread of COVID-19 in Brazil. We model the current scenario of closed schools and universities, social distancing of people above sixty years old and voluntary home quarantine to show that it is still not enough to protect the health system by explicitly computing the demand for hospital intensive care units. We also show that an urgent intense quarantine might be the only solution to avoid the collapse of the health system and, consequently, to minimize the quantity of deaths. On the other hand, we demonstrate that the relaxation of the already imposed control measures in the next days would be catastrophic
Entanglement-based quantum communication complexity beyond Bell nonlocality
(npj Quantum Information, 2022-02-03) Ho, Joseph; Moreno Filho, Marcos George Magalhães; Brito, Samuraí Gomes de Aguiar; Graffitti, Francesco; Morrison, Christopher L.; Nery, Ranieri Vieira; Pickston, Alexander; Proietti, Massimiliano; Rabelo, Rafael; Fedrizzi, Alessandro; Araújo, Rafael Chaves Souto
Efficient distributed computing offers a scalable strategy for solving resource-demanding tasks, such as parallel computation and circuit optimisation. Crucially, the communication overhead introduced by the allotment process should be minimised—a key motivation behind the communication complexity problem (CCP). Quantum resources are well-suited to this task, offering clear strategies that can outperform classical counterparts. Furthermore, the connection between quantum CCPs and non-locality provides an information-theoretic insight into fundamental quantum mechanics. Here we connect quantum CCPs with a generalised non-locality framework—beyond Bell’s paradigmatic theorem—by incorporating the underlying causal structure, which governs the distributed task, into a so-called non-local hidden-variable model. We prove that a new class of communication complexity tasks can be associated with Bell-like inequalities, whose violation is both necessary and sufficient for a quantum gain. We experimentally implement a multipartite CCP akin to the guess-your-neighbour-input scenario, and demonstrate a quantum advantage when multipartite Greenberger-Horne-Zeilinger (GHZ) states are shared among three users
Machine learning nonlocal correlations
(American Physical Society, 2019-05-22) Silva, Askery Alexandre Canabarro Barbosa da; Brito, Samuraí Gomes de Aguiar; Araújo, Rafael Chaves Souto
The ability to witness nonlocal correlations lies at the core of foundational aspects of quantum mechanics and its application in the processing of information. Commonly, this is achieved via the violation of Bell inequalities. Unfortunately, however, their systematic derivation quickly becomes unfeasible as the scenario of interest grows in complexity. To cope with that, here, we propose a machine learning approach for the detection and quantification of nonlocality. It consists of an ensemble of multilayer perceptrons blended with genetic algorithms achieving a high performance in a number of relevant Bell scenarios. As we show, not only can the machine learn to quantify nonlocality, but discover new kinds of nonlocal correlations inaccessible with other current methods as well. We also apply our framework to distinguish between classical, quantum, and even postquantum correlations. Our results offer a novel method and a proof-of-principle for the relevance of machine learning for understanding nonlocality
Statistical properties of the quantum internet
(American Physical Society, 2020-05-27) Brito, Samuraí Gomes de Aguiar; Silva, Askery Alexandre Canabarro Barbosa da; Araújo, Rafael Chaves Souto; Cavalcanti, Daniel
Steady technological advances are paving the way for the implementation of the quantum internet, a network of locations interconnected by quantum channels. Here we propose a model to simulate a quantum internet based on optical fibers and employ network-theory techniques to characterize the statistical properties of the photonic networks it generates. Our model predicts a continuous phase transition between a disconnected and a highly connected phase and that the typical photonic networks do not present the small world property. We compute the critical exponents characterizing the phase transition, provide quantitative estimates for the minimum density of nodes needed to have a fully connected network and for the average distance between nodes. Our results thus provide quantitative benchmarks for the development of a quantum internet

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