Quantum-Neural-Network

A Quantum Machine Learning for Binary Classification using 4 Qubits.

Table of contents

• General info
• Setup

General info

We use IBM Quantum Composer to design a quantum circuit with 4 qubits that is capable of performing binary classification on a dataset with 4 features. To train our model we use 2 datasets:

• The CICIDS2017 Dataset
• "Significant Earthquakes, 1965-2016" from National Earthquake Information Center (NEIC)

Setup

To make and run this project, we have used:

• IBM Quantum Composer
• Kaggle

IBM Quantum Composer generated circuit

Citation

Quantum Computing, Communication, and Simulation IV 2024-03-13 | Book chapter DOI: 10.1117/12.3010006 Contributors: Nadia Ahmed Sharna; Emamul Islam

URL http://dx.doi.org/10.1117/12.3010006

Citation (formatted-apa)

Sharna, N. A., & Islam, E. (2024). Quantum machine learning approach for classification: Case studies and implications. In Quantum Computing, Communication, and Simulation IV (Proc. SPIE 12911, 129110I). https://doi.org/10.1117/12.3010006