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

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

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

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.

Mochamad Wahyudi1
, Solikhun2

Universitas Bina Sarana Informatika

01-02-2023

Fajar bagus W

PDF

Indonesia

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