A nonlinear elastic model for nets made up of two families of curved fibers is proposed. The
net is planar prior to the deformation, but the equilibrium configuration that minimizes the …

We propose genetic algorithms, which are robust optimization techniques inspired by
natural selection, to enhance the versatility of digital quantum simulations. In this sense, we …

We develop a recursive algorithm to generalize the quantum SWAP test for an arbitrary
number m of quantum states requiring O (m) controlled-swap (CSWAP) gates and O (log m) …

Quantum hardware continues to advance, yet finding new quantum algorithms-quantum
software-remains a challenge, with classically trained computer programmers having little …

We present superconducting quantum circuits which exhibit atomic energy spectrum and
selection rules as ladder and lambda three-level configurations designed by means of …

Logistic regression is an efficient machine learning procedure, and it is applied to build a
mathematical model for classifying a certain input to a certain class among a number of …

W artykule przedstawiono nowatorską i opatentowaną metodę tworzenia niepowtarzalnych
schematów połączeń rezystorów na podstawie sekwencji naturalnego kodu binarnego …

La tesis se presenta como una metodología para realizar estimación de parámetros de
dispositivos eléctricos por medio de simuladores electrónicos. Se aborda una alternativa a …

The Cannabinoid Type I receptor protein (CB1) expression in the hippocampus of rescue
mice modified to express the gene exclusively in specific brain cell types: such as dorsal …