no code implementations • 3 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.
no code implementations • 16 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.
no code implementations • 12 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.
no code implementations • 28 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.
no code implementations • 3 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.
no code implementations • 20 Aug 2023 • Nouhaila Innan, Owais Ishtiaq Siddiqui, Shivang Arora, Tamojit Ghosh, Yasemin Poyraz Koçak, Dominic Paragas, Abdullah Al Omar Galib, Muhammad Al-Zafar Khan, Mohamed Bennai
Quantum State Tomography (QST) is a fundamental technique in Quantum Information Processing (QIP) for reconstructing unknown quantum states.
no code implementations • 9 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.
no code implementations • 18 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.
no code implementations • 10 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.