112 citations · 455 across the 21 of their papers we have counts for
6 papers · 2 filters
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…
Simulation of a Variational Quantum Perceptron using Grover's Algorithm
Nouhaila Innan, Mohamed Bennai
The quantum perceptron, the variational circuit, and the Grover algorithm have been proposed as promising components for quantum machine learning. This paper presents a new quantum…
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…
Enhancing Quantum Support Vector Machines through Variational Kernel Training
Nouhaila Innan, Muhammad Al-Zafar Khan, Biswaranjan Panda +1
Quantum machine learning (QML) has witnessed immense progress recently, with quantum support vector machines (QSVMs) emerging as a promising model. This paper focuses on the two ex…