Q-Madaline: Madaline Based On Qubit

Q-Madaline: Madaline Based On Qubit

pattern recognition; quantum computing; neural networks; MADALINE

This research focuses on developing the MADALINE algorithm using quantum computing. Quantum computing uses binary
numbers 0 or 1 or a combination of 0 and 1. The main problem in this research is how to find other alternatives to the
MADALINE algorithm to solve pattern recognition problems with a quantum computing approach. The data used in this study
is heart failure data to predict whether a patient is at risk of death. The data source comes from KAGGLE, consisting of 299
data with 12 symptoms and one target, alive or dead. The result of this study is an alternative to the MADALINE algorithm
using quantum computing. The accuracy of the test results with MADALINE with a learning rate of 0.1 = 100% with 2 epochs.
The accuracy of the test results using a quantum approach with a learning rate of 0.1 is 85.71%. The results of this study can
be an alternative to the MADALINE algorithm with a quantum computing approach, although it has not shown better accuracy
than the classical MADALINE algorithm. Further research is needed to produce better accuracy with larger data.

Khodijah Hulliyah, Solikhun

http://jurnal.iaii.or.id

Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association

October 2023

Sri Wahyuni

ISSN Media Electronic: 2580-0760

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