Quantum perceptron over a field and neural network architecture selection in a quantum computer

Neural Networks

Volumn 76, Issue , 2016, Pages 55-64

  da Silva, Adenilton José ^a,b   Ludermir, Teresa Bernarda ^b   de Oliveira, Wilson Rosa ^a  

^a UNIVERSIDADE FEDERAL RURAL DE PERNAMBUCO   (Brazil)

^b FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

Neural networks; Quantum computing; Quantum neural networks

Indexed keywords

ALGORITHMS; LEARNING ALGORITHMS; NEURAL NETWORKS; POLYNOMIAL APPROXIMATION; QUANTUM COMPUTERS;

ARCHITECTURE LEARNING; MODELS AND ALGORITHMS; NETWORK WEIGHTS; POLYNOMIAL-TIME; QUANTUM COMPUTING; QUANTUM NEURAL NETWORKS; QUANTUM OPERATORS; QUANTUM PARALLELISM;

NETWORK ARCHITECTURE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; LEARNING ALGORITHM; MACHINE LEARNING; MATHEMATICAL COMPUTING; MATHEMATICAL PARAMETERS; PERCEPTRON; PRIORITY JOURNAL; PROCESS OPTIMIZATION; QUANTUM MECHANICS; QUANTUM PERCEPTRON OVER A FIELD; SUPERPOSITION BASED ARCHITECTURE LEARNING ALGORITHM; ALGORITHM; COMPUTER;

ALGORITHMS; COMPUTERS; NEURAL NETWORKS (COMPUTER);

EID: 84957590698     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2016.01.002     Document Type: Article

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