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A Quantum Neural Network Approach for Portfolio Selection

by R.P Mahajan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 29 - Number 4
Year of Publication: 2011
Authors: R.P Mahajan
10.5120/3550-4870

R.P Mahajan . A Quantum Neural Network Approach for Portfolio Selection. International Journal of Computer Applications. 29, 4 ( September 2011), 47-54. DOI=10.5120/3550-4870

@article{ 10.5120/3550-4870,
author = { R.P Mahajan },
title = { A Quantum Neural Network Approach for Portfolio Selection },
journal = { International Journal of Computer Applications },
issue_date = { September 2011 },
volume = { 29 },
number = { 4 },
month = { September },
year = { 2011 },
issn = { 0975-8887 },
pages = { 47-54 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume29/number4/3550-4870/ },
doi = { 10.5120/3550-4870 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:14:56.766007+05:30
%A R.P Mahajan
%T A Quantum Neural Network Approach for Portfolio Selection
%J International Journal of Computer Applications
%@ 0975-8887
%V 29
%N 4
%P 47-54
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A new field of computation is emerging which integrates quantum and classical computation. This is applied to solve the financial engineering problem of portfolio selection. Hopfield neural network is used for portfolio selection. A quantum inspired hybrid model of quantum neurons and classical neurons is proposed for the prediction of stock prices. An effort is made, probably the first time to develop and use a hybrid quantum neural network for the prediction of stock prices. The suggested multilayer hybrid quantum neural network contains hidden layer of quantum neurons while the visible layer is of classical neurons. The asset distribution is done by a modified greedy algorithm. It is assumed that quantum computers when come into existence shall provide huge potential in the form of computational power and memory. Classical Neural networks(CNN) have shown tremendous acceptability in solving problems with non-linear formulations that requires huge processing power and large memory which a quantum computer can provide, when they will come into existence.

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Index Terms

Computer Science
Information Sciences

Keywords

Quantum neural network portfolio selection resource allocation stock price prediction investment weights quantum back propagation quantum computation

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