Adenilton J. da Silva

Orcid: 0000-0003-0019-7694

According to our database1, Adenilton J. da Silva authored at least 48 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Online presence:

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Bibliography

2024
Circuit Decomposition of Multicontrolled Special Unitary Single-Qubit Gates.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2024

Training and meta-training an ensemble of binary neural networks with quantum computing.
Neurocomputing, March, 2024

Low-Rank Quantum State Preparation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024

2023
Comments on "Efficient classical simulation of the Deutsch-Jozsa and Simon's algorithms".
Quantum Inf. Process., November, 2023

Configurable sublinear circuits for quantum state preparation.
Quantum Inf. Process., February, 2023

Linear decomposition of approximate multi-controlled single qubit gates.
CoRR, 2023

Decomposition of Multi-controlled Special Unitary Single-Qubit Gates.
CoRR, 2023

2022
Double sparse quantum state preparation.
Quantum Inf. Process., 2022

Linear-depth quantum circuits for multi-qubit controlled gates.
CoRR, 2022

2021
Circuit-Based Quantum Random Access Memory for Classical Data With Continuous Amplitudes.
IEEE Trans. Computers, 2021

Entanglement as a complexity measure for quantum state preparation.
CoRR, 2021

Quantum One-class Classification With a Distance-based Classifier.
Proceedings of the International Joint Conference on Neural Networks, 2021

Training Ensembles of Quantum Binary Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Implementing Any Nonlinear Quantum Neuron.
IEEE Trans. Neural Networks Learn. Syst., 2020

Parametric Probabilistic Quantum Memory.
Neurocomputing, 2020

A divide-and-conquer algorithm for quantum state preparation.
CoRR, 2020

Quantum One-class Classification With a Distance-based Classifier.
CoRR, 2020

Wine quality rapid detection using a compact electronic nose system: application focused on spoilage thresholds by acetic acid.
CoRR, 2020

Quantum ensemble of trained classifiers.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Quantum probabilistic associative memory architecture.
Neurocomputing, 2019

A WNN model based on Probabilistic Quantum Memories.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018
Quantum enhanced cross-validation for near-optimal neural networks architecture selection.
CoRR, 2018

Quantum Perceptron with Dynamic Internal Memory.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Quantum Enhanced k-fold Cross-Validation.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Chaos in a quantum neuron: An open system approach.
Neurocomputing, 2017

Neural Networks Architecture Evaluation in a Quantum Computer.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

Non-unitary Quantum Associative Memory.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

On the Entanglement Dynamics of the Quantum Weightless Neuron.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
Quantum perceptron over a field and neural network architecture selection in a quantum computer.
Neural Networks, 2016

Comments on "quantum artificial neural networks with applications".
Inf. Sci., 2016

Weightless neural network parameters and architecture selection in a quantum computer.
Neurocomputing, 2016

Chaos in Quantum Weightless Neuron Node Dynamics.
Neurocomputing, 2016

2015
Artificial neural network architecture selection in a quantum computer.
PhD thesis, 2015

Solving NP-complete Problems Using Quantum Weightless Neuron Nodes.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

Fitting Parameters on Quantum Weightless Neuron Dynamics.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014
An automatic methodology for construction of multi-classifier systems based on the combination of selection and fusion.
Prog. Artif. Intell., 2014

Probabilistic automata simulation with single layer weightless neural networks.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Training a classical weightless neural network in a quantum computer.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Vector space weightless neural networks.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2012
Classical and superposed learning for quantum weightless neural networks.
Neurocomputing, 2012

On the Universality of Quantum Logical Neural Networks.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Evolving Neural Networks Using Differential Evolution with Neighborhood-Based Mutation and Simple Subpopulation Scheme.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Clustering and selection of neural networks using adaptive differential evolution.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Selection and Fusion of Neural Networks via Differential Evolution.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

2010
A Weightless Neural Node Based on a Probabilistic Quantum Memory.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Superposition Based Learning Algorithm.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Evolving Artificial Neural Networks Using Adaptive Differential Evolution.
Proceedings of the Advances in Artificial Intelligence, 2010

2008
Quantum Logical Neural Networks.
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008


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