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

  • Mochamad Wahyudi Universitas Bina Sarana Informatika
  • Solikhun Solikhun STIKOM Tunas Bangsa
Keywords: 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.


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How to Cite
Wahyudi, M., & Solikhun, S. (2023). Development of Quantum Circuit Architecture on Quantum Perceptron Algorithm for Classification of Marketing Bank Data . Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 7(1), 15 -19.
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