Development of Quantum Circuit Architecture on Quantum Perceptron
Algorithm for Classification of Marketing Bank Data

Dublin Core

Title

Development of Quantum Circuit Architecture on Quantum Perceptron
Algorithm for Classification of Marketing Bank Data

Subject

classification, quantum computing, quantum perceptron, architecture, quantum circuit

Description

The creation of quantum circuit architecture based on the quantum perceptron algorithm to classify marketing bank data is
proposed in this work. A quantum circuit is a quantum gate made up of two quantum gates. Quantum bits are used in this
study's computation. The primary proposed learning method was not ideal, which is the context of this study. The percentage
of qubits measurement value is still 90.7 percent. It is essential to raise the value of the qubit rate. Using the IBM Quantum
Experience quantum computer, researchers measured, trained, and tested the quantum circuit architecture. Bank marketing
data from the UCI Machine Learning Repository was used. A quantum circuit architecture model results from this research
the quantum circuit measurement results.

Creator

Mochamad Wahyudi1
, Solikhun2

Publisher

Universitas Bina Sarana Informatika

Date

01-02-2023

Contributor

Fajar bagus W

Format

PDF

Language

Indonesia

Type

Text

Files

Collection

Citation

Mochamad Wahyudi1 , Solikhun2, “Development of Quantum Circuit Architecture on Quantum Perceptron
Algorithm for Classification of Marketing Bank Data,” Repository Horizon University Indonesia, accessed June 6, 2025, https://repository.horizon.ac.id/items/show/9333.