Analysis of the quantum perceptron algorithm for classification of bank marketing data

Quantum computing is a technology that takes advantage of quantum effects, which operates using quantum computing, resulting in increased algorithm speed compared to the speed of algorithms that use classical computing. This study aims to classify bank marketing data in determining the eligibility o...

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Bibliographic Details
Main Authors: Solikhun, Efendi, Syahril, Zarlis, Muhammad, Sihombing, Poltak
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Classification
Customers
Loans
Marketing
Quantum computing
Online Access:Get full text
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Summary:Quantum computing is a technology that takes advantage of quantum effects, which operates using quantum computing, resulting in increased algorithm speed compared to the speed of algorithms that use classical computing. This study aims to classify bank marketing data in determining the eligibility of customers who are entitled to become depositors with the quantum perceptron algorithm using calculations with 5 variables, namely employment, status, education, home credit, and bank loans. The result of this research is the analysis of bank marketing classification data to determine the eligibility of customers who are entitled to become depositors using the quantum perceptron algorithm with quantum computation.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0129287