STOCK PRICE PREDICTION USING QUANTUM NEURAL NETWORK

[摘要] 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.

[关键词] Quantum neural network (QNN);commodities price prediction;QNN in financial engineering applications;quantum back propagation;quantumcomputation;stock price prediction