Continuous-variable quantum key distribution (CV-QKD) has emerged as a promising approach for secure quantum communication, offering advantages such as high key generation rates, compatibility with standard telecommunication infrastructure, and potential for integration on photonic chips. This review provides an accessible introduction to the theory of CV-QKD, aimed at researchers entering this rapidly developing field. We focus on fundamental concepts, key protocols, and security analysis essential for understanding CV-QKD systems, with a special emphasis on prepare-and-measure protocols using coherent states under asymptotic security conditions. We explain their equivalence to entanglement-based protocols and detail the security proof framework against collective attacks, encompassing both Gaussian and discrete modulation schemes. We also briefly address more advanced topics, including measurement-device-independent CV-QKD and finite-size security analysis. This work is motivated by Brazil's growing investment in quantum communication technologies. By presenting a clear learning path from basic concepts to advanced topics, this work aims to equip newcomers with the essential tools to engage with current research in CV-QKD, thereby supporting the training of a new generation of researchers in this strategic field.
This work proposes a hierarchical approach to reduce the training time of task-based routines by reusing previously obtained autotuning information. This approach has been integrated into a working prototype of Chameleon, a dense linear algebra software whose tile-based routines are executed on the available computational resources by means of a runtime system. The results show that this approach provides a high degree of scalability to the entire self-optimization process, achieving a reduction in training time of up to 80
Current technologies for 4D seismic for reservoir monitoring involve gathering raw data in the field and later processing it on powerful computers with a lot of human intervention to QC the data and improve the results. There are several steps in these work processes that are standards for the industry. The development of new ocean bottom sensor technologies, like OBN, PRM and On-Demand OBN (Lopez, et al. 2023) bring many advantages for improved seismic images, but keep some previous work processes, where data is processed far away from the field at great expense. This paper proposes a new paradigm applicable to OBN-based technology, where processing is done in the field. To reduce cost this processing would be done autonomously, which is a firm requirement when the nodes are permanently on the seafloor. Rapid advances in AI show that this proposal is possible and may even be feasible in the extreme case of seafloor processing, with imaged data acoustically transmitted to surface to crewed or uncrewed vessels. The aim of such intelligent OBN (iOBN) technology is to reduce cost and to deliver data just-in-time to accelerate reservoir management decisions.
Este ensaio analisa características comportamentais de Emma Bovary, protagonista da obra Madame Bovary (1857), de Gustave Flaubert, a partir da metapsicologia freudiana, com o objetivo de interpretar Emma Bovary como figura paradigmática da histeria feminina burguesa do século XIX e de discutir como seus impasses subjetivos condensam tensões entre desejo, feminilidade e crítica social. A pesquisa adota abordagem qualitativa, descritivo‑analítica, tomando o romance como corpus principal e articulando-o a conceitos formulados por Freud em seus estudos sobre a histeria, sobre a feminilidade e sobre a teoria da sexualidade. A análise organiza-se em torno de aspectos que evidenciam a insatisfação conjugal, os devaneios idealizantes, os adultérios, os sintomas corporais e o suicídio de Emma, interpretando-os à luz do desejo inconsciente, da castração e da estrutura histérica. Mostra-se que a personagem encena, simultaneamente, um protesto contra o destino feminino burguês e uma busca impossível por compensação fálica no amor, na maternidade e no consumo. Conclui-se que a leitura freudiana enriquece a compreensão do romance ao evidenciar seu diálogo com formas históricas de opressão de gênero, sugerindo desdobramentos tanto para a crítica literária quanto para a reflexão psicanalítica sobre a feminilidade e o mal‑estar diante de uma sociedade discriminatória.
We study production planning in a glass-container factory that operates a single furnace feeding three molding machines to produce vacuum-flask inserts and glass jars. The problem features industry-specific requirements, such as ramp-up behavior, safety stock, and furnace extraction limits, which we model explicitly in a mixed-integer linear program (MILP). We then develop two hybrid evolutionary approaches, a simple Genetic Algorithm (GA) and a Multi-Population GA (MPGA), that optimize the binary decisions of the MILP, while the remaining variables are computed exactly via the embedded solver. A benchmark of 400 artificial instances, calibrated from factory data, and a real quarterly plan are used for validation. The results show that CPLEX Branch-and-Cut (B C) solves only the smallest instances to optimality. In contrast, GA and MPGA find feasible solutions across the entire testbed within the time limit. The proposed model captures key shop-floor effects, and the multi-population hybridization yields robust, high-quality plans when exact methods become computationally prohibitive.
