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20232026
most citedFinancial Fraud Detection using Quantum Graph Neural Networks

112 citations · 509 across the 43 of their papers we have counts for

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22 papers · 1 filter

quant-ph2025

FiD-QAE: A Fidelity-Driven Quantum Autoencoder for Credit Card Fraud Detection

Mansour El Alami, Adam Innan, Nouhaila Innan +2

Credit card fraud detection is a critical task in financial security, as fraudulent transactions are rare, highly imbalanced, and often resemble legitimate ones. A wide range of cl…

quant-ph2025

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates

Prashant Kumar Choudhary, Nouhaila Innan, Muhammad Shafique +1

Quantum circuit design is a key bottleneck for practical quantum machine learning on complex, real-world data. We present an automated framework that discovers and refines variatio…

cs.LG2025

FAQNAS: FLOPs-aware Hybrid Quantum Neural Architecture Search using Genetic Algorithm

Muhammad Kashif, Shaf Khalid, Alberto Marchisio +2

Hybrid Quantum Neural Networks (HQNNs), which combine parameterized quantum circuits with classical neural layers, are emerging as promising models in the noisy intermediate-scale…

quant-ph2025

Benchmarking VQE Configurations: Architectures, Initializations, and Optimizers for Silicon Ground State Energy

Zakaria Boutakka, Nouhaila Innan, Muhammed Shafique +2

Quantum computing presents a promising path toward precise quantum chemical simulations, particularly for systems that challenge classical methods. This work investigates the perfo…

cs.LG2025

IQNN-CS: Interpretable Quantum Neural Network for Credit Scoring

Abdul Samad Khan, Nouhaila Innan, Aeysha Khalique +1

Credit scoring is a high-stakes task in financial services, where model decisions directly impact individuals' access to credit and are subject to strict regulatory scrutiny. While…

quant-ph2025★ 3 cited

Evaluating Quantum Amplitude Estimation for Pricing Multi-Asset Basket Options

Muhammad Kashif, Shaf Khalid, Nouhaila Innan +2

Accurate and efficient pricing of multi-asset basket options poses a significant challenge, especially when dealing with complex real-world data. In this work, we investigate the r…