Search Results for author: Mohamed Bennai

Found 9 papers, 0 papers with code

QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection

no code implementations3 Apr 2024 Nouhaila Innan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai

This study introduces the Quantum Federated Neural Network for Financial Fraud Detection (QFNN-FFD), a cutting-edge framework merging Quantum Machine Learning (QML) and quantum computing with Federated Learning (FL) for financial fraud detection.

Federated Learning Fraud Detection +1

FedQNN: Federated Learning using Quantum Neural Networks

no code implementations16 Mar 2024 Nouhaila Innan, Muhammad Al-Zafar Khan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai

In this study, we explore the innovative domain of Quantum Federated Learning (QFL) as a framework for training Quantum Machine Learning (QML) models via distributed networks.

Federated Learning Quantum Machine Learning

Quantum Support Vector Machine for Prostate Cancer Detection: A Performance Analysis

no code implementations12 Mar 2024 Walid El Maouaki, Taoufik Said, Mohamed Bennai

This study addresses the urgent need for improved prostate cancer detection methods by harnessing the power of advanced technological solutions.

Brain Tumor Diagnosis Using Quantum Convolutional Neural Networks

no code implementations28 Jan 2024 Muhammad Al-Zafar Khan, Nouhaila Innan, Abdullah Al Omar Galib, Mohamed Bennai

Integrating Quantum Convolutional Neural Networks (QCNNs) into medical diagnostics represents a transformative advancement in the classification of brain tumors.

Decision Making Quantum Machine Learning

Financial Fraud Detection using Quantum Graph Neural Networks

no code implementations3 Sep 2023 Nouhaila Innan, Abhishek Sawaika, Ashim Dhor, Siddhant Dutta, Sairupa Thota, Husayn Gokal, Nandan Patel, Muhammad Al-Zafar Khan, Ioannis Theodonis, Mohamed Bennai

QGNNs are a type of neural network that can process graph-structured data and leverage the power of Quantum Computing (QC) to perform computations more efficiently than classical neural networks.

Fraud Detection

Financial Fraud Detection: A Comparative Study of Quantum Machine Learning Models

no code implementations9 Aug 2023 Nouhaila Innan, Muhammad Al-Zafar Khan, Mohamed Bennai

In this research, a comparative study of four Quantum Machine Learning (QML) models was conducted for fraud detection in finance.

Fraud Detection Quantum Machine Learning

Simulation of a Variational Quantum Perceptron using Grover's Algorithm

no code implementations18 May 2023 Nouhaila Innan, Mohamed Bennai

The quantum perceptron, the variational circuit, and the Grover algorithm have been proposed as promising components for quantum machine learning.

Quantum Machine Learning

Enhancing Quantum Support Vector Machines through Variational Kernel Training

no code implementations10 May 2023 Nouhaila Innan, Muhammad Al-Zafar Khan, Biswaranjan Panda, Mohamed Bennai

Our proposed model, quantum variational kernel SVM (QVK-SVM), leverages the quantum kernel and quantum variational algorithm.

Quantum Machine Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.