112 citations · 293 across the 11 of their papers we have counts for
6 papers · 1 filter
FedQNN: Federated Learning using Quantum Neural Networks
Nouhaila Innan, Muhammad Al-Zafar Khan, Alberto Marchisio +2
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. Conv…
Financial Fraud Detection using Quantum Graph Neural Networks
Nouhaila Innan, Abhishek Sawaika, Ashim Dhor +7
Financial fraud detection is essential for preventing significant financial losses and maintaining the reputation of financial institutions. However, conventional methods of detect…
Quantum State Tomography using Quantum Machine Learning
Nouhaila Innan, Owais Ishtiaq Siddiqui, Shivang Arora +6
Quantum State Tomography (QST) is a fundamental technique in Quantum Information Processing (QIP) for reconstructing unknown quantum states. However, the conventional QST methods a…
Financial Fraud Detection: A Comparative Study of Quantum Machine Learning Models
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. We proved that the Quantum Support Vector Classifi…
Electronic Structure Calculations using Quantum Computing
Nouhaila Innan, Muhammad Al-Zafar Khan, Mohamed Bennai
The computation of electronic structure properties at the quantum level is a crucial aspect of modern physics research. However, conventional methods can be computationally demandi…
Classical-to-Quantum Sequence Encoding in Genomics
Nouhaila Innan, Muhammad Al-Zafar Khan
DNA sequencing allows for the determination of the genetic code of an organism, and therefore is an indispensable tool that has applications in Medicine, Life Sciences, Evolutionar…