activity
20232025
most citedFinancial Fraud Detection using Quantum Graph Neural Networks

112 citations · 293 across the 11 of their papers we have counts for

collaborators

11 papers

hep-th2025

Constructing the Padmanabhan Holographic Model in a BIonic System

Alireza Sepehri, Muhammad Al-Zafar Khan

Recently, Padmanabhan has argued that a difference between the number of degrees of freedom on the surface and the number in a bulk causes the expansion of the universe. We can rec…

quant-ph2024★ 59 cited

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…

eess.IV2024★ 8 cited

Brain Tumor Diagnosis Using Quantum Convolutional Neural Networks

Muhammad Al-Zafar Khan, Abdullah Al Omar Galib, Nouhaila Innan +1

Accurate classification of brain tumors from MRI scans is critical for effective treatment planning. This study presents a Hybrid Quantum Convolutional Neural Network (HQCNN) that…

quant-ph2023★ 112 cited

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…

quant-ph2023★ 29 cited

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…

quant-ph2023★ 65 cited

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…

gr-qc2023

Lie Symmetry Analysis of the Einstein-Maxwell Equations for Quark Stars

Muhammad Al-Zafar Khan, Riven Narain

We derive the Lie point symmetries for the MIT Bag Model for quark stars in relativistic astrophysics. Four cases of reduction arise; three cases of specific values of the measure…

nlin.PS2023

Conservation Laws for the Nonlinear Klein-Gordon Equation in (1+1)-, (2+1), and (3+1)-dimensions

Muhammad Al-Zafar Khan

We study soliton solutions to the Klein-Gordon equation via Lie symmetries and the travelling-wave ansatz. It is shown, by taking a linear combination of the spatial and temporal L…

hep-ph2023

Soliton Solutions and Conservation Laws for a Self-interacting Scalar Field in \(ϕ^{4}\) Theory

Muhammad Al-Zafar Khan, Mervlyn Moodley, Francesco Petruccione

We calculate soliton solutions to the scalar field equation of motion that arises for the 4th-order extended Lagrangian (\(ϕ^{4}\) theory) in quantum field theory using the extende…

quant-ph2023★ 18 cited

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…

quant-ph2023★ 2 cited

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…