Classical-to-Quantum Sequence Encoding in Genomics. - Nouhaila Innan; Muhammad Al-Zafar Khan (CoRR, 2023)

Simulation of a Variational Quantum Perceptron using Grover's Algorithm. - Nouhaila Innan; Mohamed Bennai (CoRR, 2023)

Financial Fraud Detection: A Comparative Study of Quantum Machine Learning Models. - Nouhaila Innan; Muhammad Al-Zafar Khan; Mohamed Bennai (CoRR, 2023)

Enhancing quantum support vector machines through variational kernel training. - Nouhaila Innan; Muhammad Al-Zafar Khan; Biswaranjan Panda; Mohamed Bennai (Quantum Inf. Process., 2023)

FedQNN: Federated Learning using Quantum Neural Networks. - Nouhaila Innan; Muhammad Al-Zafar Khan; Alberto Marchisio; Muhammad Shafique 001; Mohamed Bennai (IJCNN, 2024)

QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction. - Siddhant Dutta; Nouhaila Innan; Alberto Marchisio; Sadok Ben Yahia; Muhammad Shafique 001 (QCE, 2024)

Quantum Clustering for Cybersecurity. - Walid El Maouaki; Nouhaila Innan; Alberto Marchisio; Taoufik Said; Mohamed Bennai; Muhammad Shafique 001 (QCE, 2024)

AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling. - Siddhant Dutta; Nouhaila Innan; Sadok Ben Yahia; Muhammad Shafique 001 (CoRR, 2024)

Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML. - Siddhant Dutta; Pavana P. Karanth; Pedro Maciel Xavier; Iago Leal de Freitas; Nouhaila Innan; Sadok Ben Yahia; Muhammad Shafique 001; David E. Bernal Neira (CoRR, 2024)

MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption. - Siddhant Dutta; Nouhaila Innan; Sadok Ben Yahia; Muhammad Shafique 001; David Esteban Bernal Neira (CoRR, 2024)

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks. - Nouhaila Innan; Alberto Marchisio; Muhammad Shafique 001 (CoRR, 2024)

LEP-QNN: Loan Eligibility Prediction Using Quantum Neural Networks. - Nouhaila Innan; Alberto Marchisio; Mohamed Bennai; Muhammad Shafique 001 (CoRR, 2024)

SentiQNF: A Novel Approach to Sentiment Analysis Using Quantum Algorithms and Neuro-Fuzzy Systems. - Kshitij Dave; Nouhaila Innan; Bikash K. Behera; Zahid Mumtaz; Saif Al-Kuwari; Ahmed Farouk (CoRR, 2024)

Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection. - Mansour El Alami; Nouhaila Innan; Muhammad Shafique 001; Mohamed Bennai (CoRR, 2024)

Quantum state tomography using quantum machine learning. - 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 Mach. Intell., 2024)

Financial fraud detection using quantum graph neural networks. - Nouhaila Innan; Abhishek Sawaika; Ashim Dhor; Siddhant Dutta; Sairupa Thota; Husayn Gokal; Nandan Patel; Muhammad Al-Zafar Khan; Ioannis Theodonis; Mohamed Bennai (Quantum Mach. Intell., 2024)

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy. - Nouhaila Innan; Muhammad Kashif; Alberto Marchisio; Mohamed Bennai; Muhammad Shafique 001 (IOLTS, 2025)

QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection. - Nouhaila Innan; Alberto Marchisio; Mohamed Bennai; Muhammad Shafique 001 (QSW, 2025)

QFAL: Quantum Federated Adversarial Learning. - Walid El Maouaki; Nouhaila Innan; Alberto Marchisio; Taoufik Said; Mohamed Bennai; Muhammad Shafique 001 (CoRR, 2025)

PennyLang: Pioneering LLM-Based Quantum Code Generation with a Novel PennyLane-Centric Dataset. - Haider Asif; Abdul Basit; Nouhaila Innan; Muhammad Kashif; Alberto Marchisio; Muhammad Shafique 001 (CoRR, 2025)

QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution. - Siddhant Dutta; Nouhaila Innan; Khadijeh Najafi; Sadok Ben Yahia; Muhammad Shafique 001 (CoRR, 2025)

HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction. - Prashant Kumar Choudhary; Nouhaila Innan; Muhammed Shafique 001; Rajeev Singh (CoRR, 2025)

QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges. - Abdul Basit; Minghao Shao; Haider Asif; Nouhaila Innan; Muhammad Kashif; Alberto Marchisio; Muhammad Shafique 001 (CoRR, 2025)

KASPER: Kolmogorov Arnold Networks for Stock Prediction and Explainable Regimes. - Vidhi Oad; Param Pathak; Nouhaila Innan; Shalini D; Muhammad Shafique 001 (CoRR, 2025)

PennyCoder: Efficient Domain-Specific LLMs for PennyLane-Based Quantum Code Generation. - Abdul Basit; Minghao Shao; Muhammad Haider Asif; Nouhaila Innan; Muhammad Kashif; Alberto Marchisio; Muhammad Shafique 001 (CoRR, 2025)

A Privacy-Preserving Federated Framework with Hybrid Quantum-Enhanced Learning for Financial Fraud Detection. - Abhishek Sawaika; Swetang Krishna; Tushar Tomar; Durga Pritam Suggisetti; Aditi Lal; Tanmaya Shrivastav; Nouhaila Innan; Muhammad Shafique 001 (CoRR, 2025)

Optimizing Low-Energy Carbon IIoT Systems With Quantum Algorithms: Performance Evaluation and Noise Robustness. - Kshitij Dave; Nouhaila Innan; Bikash K. Behera; Shahid Mumtaz; Saif Al-Kuwari; Ahmed Farouk (IEEE Internet Things J., 2025)