STOCK PRICE PREDICTION USING QUANTUM NEURAL NETWORK | Abstract

ISSN: 2229-371X

Research Article Open Access

STOCK PRICE PREDICTION USING QUANTUM NEURAL NETWORK

Abstract

Quantum Neural Network (QNN) can improve upon the inadequacies of the classical neural network (CNN). The CNN requires a huge memory and needs more computational power. A new field of computation is emerging which integrates quantum computation with CNN. A quantum inspired hybrid model of quantum neurons and classical neurons is proposed. This paper details an approach, perhaps the first attempt; towards stock price prediction using this concept is evolved. The stock price prediction initiates the use of QNN in financial engineering applications

RP Mahajan

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