L
Luís Tarrataca
Researcher at Centro Federal de Educação Tecnológica Celso Suckow da Fonseca
Publications - 35
Citations - 350
Luís Tarrataca is an academic researcher from Centro Federal de Educação Tecnológica Celso Suckow da Fonseca. The author has contributed to research in topics: Quantum computer & Quantum algorithm. The author has an hindex of 10, co-authored 35 publications receiving 260 citations. Previous affiliations of Luís Tarrataca include Centro Federal de Educação Tecnológica de Minas Gerais & Technical University of Lisbon.
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Journal ArticleDOI
Tree Search and Quantum Computation
Luís Tarrataca,Andreas Wichert +1 more
TL;DR: This work considers the impact of incorporating classical search concepts alongside Grover’s algorithm into a hybrid quantum search system and the reverberations of contemplating the use of non-constant branching factors.
Journal ArticleDOI
Exact expectation analysis of the deficient-length LMS algorithm
TL;DR: In this article, a sufficient-order adaptive filter analysis is presented, in which the lengths of the unknown plant and the adaptive filter are equal. But the analysis is restricted neither to white nor to Gaussian input signals and is able to provide a proper step size upper bound.
Book ChapterDOI
An Analysis of Navigation Algorithms for Smartphones Using J2ME
André C. Santos,André C. Santos,Luís Tarrataca,Luís Tarrataca,João M. P. Cardoso,João M. P. Cardoso +5 more
TL;DR: The current mobile Java capacity for executing computationally demanding algorithms is studied and the real possibility of using smartphones for autonomous navigation is revealed.
Journal ArticleDOI
The Feasibility of Navigation Algorithms on Smartphones using J2ME
TL;DR: The current mobile Java capacity for executing computationally demanding algorithms is studied and the real possibility of using smartphones for autonomous navigation is revealed.
Journal ArticleDOI
Problem-solving and Quantum Computation
Luís Tarrataca,Andreas Wichert +1 more
TL;DR: The developed model can be extended in order to tackle any N-level depth search required by other problems, and is motivated by several important theories from the fields of physics, computer science and psychology.