activity
20172024
most citedValidation of the rapid detection approach for enhancing the electronic nose systems performance, using different deep learning models and support vector machines

110 citations · 369 across the 11 of their papers we have counts for

collaborators

11 papers

quant-ph2024★ 4 cited

Quantum Multiplexer Simplification for State Preparation

José A. de Carvalho, Carlos A. Batista, Tiago M. L. de Veras +2

The initialization of quantum states or Quantum State Preparation (QSP) is a basic subroutine in quantum algorithms. In the worst case, general QSP algorithms are expensive due to…

quant-ph2024

Low-depth Quantum Circuit Decomposition of Multi-controlled Gates

Thiago Melo D. Azevedo, Jefferson D. S. Silva, Adenilton J. da Silva

Multi-controlled gates are fundamental components in the design of quantum algorithms, where efficient decompositions of these operators can enhance algorithm performance. The best…

quant-ph2023★ 3 cited

Linear decomposition of approximate multi-controlled single qubit gates

Jefferson D. S. Silva, Thiago Melo D. Azevedo, Israel F. Araujo +1

We provide a method for compiling approximate multi-controlled single qubit gates into quantum circuits without ancilla qubits. The total number of elementary gates to decompose an…

quant-ph2023★ 4 cited

Decomposition of Multi-controlled Special Unitary Single-Qubit Gates

Rafaella Vale, Thiago Melo D. Azevedo, Ismael C. S. Araújo +2

Multi-controlled unitary gates have been a subject of interest in quantum computing since its inception, and are widely used in quantum algorithms. The current state-of-the-art app…

quant-ph2022★ 54 cited

Linear-depth quantum circuits for multiqubit controlled gates

Adenilton J. da Silva, Daniel K. Park

Quantum circuit depth minimization is critical for practical applications of circuit-based quantum computation. In this work, we present a systematic procedure to decompose multiqu…

quant-ph2022★ 20 cited

Compact quantum kernel-based binary classifier

Carsten Blank, Adenilton J. da Silva, Lucas P. de Albuquerque +2

Quantum computing opens exciting opportunities for kernel-based machine learning methods, which have broad applications in data analysis. Recent works show that quantum computers c…