Implementation of Hadamard Gate Using Quantum Artificial Neural Network

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Shaktikanta Nayak
Sitakanta Nayak, Prof. J.P.Singh


The goal of the artificial neural network is to create powerful artificial problem solving systems. The field of quantum computation
applies ideas from quantum mechanics to the study of computation and has made interesting progress. Quantum Artificial Neural Network
(QANN) is one of the new paradigms built upon the combination of classical neural computation and quantum computation. It has great values
for theoretic study and potential to applications. In this paper an attempt is made to show how a single quantum neuron is able to perform the
walsh-hadamard transformation which is an important unitary transformation often employed in quantum computation.



Keywords: Quantum computation, walsh-hadamard transformation, Quantum neuron, Quantum artificial neural network


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