Nouhaila Innan

According to our database, Nouhaila Innan authored at least 27 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., September, 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

CoRR, July, 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

CoRR, July, 2025

KASPER: Kolmogorov Arnold Networks for Stock Prediction and Explainable Regimes.

Vidhi Oad, Param Pathak, Nouhaila Innan, Shalini D, Muhammad Shafique

CoRR, July, 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

CoRR, June, 2025

HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction.

Prashant Kumar Choudhary, Nouhaila Innan, Muhammed Shafique, Rajeev Singh

CoRR, March, 2025

QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution.

Siddhant Dutta, Nouhaila Innan, Khadijeh Najafi, Sadok Ben Yahia, Muhammad Shafique

CoRR, March, 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

CoRR, March, 2025

QFAL: Quantum Federated Adversarial Learning.

Walid El Maouaki, Nouhaila Innan, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique

CoRR, February, 2025

QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection.

Nouhaila Innan, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique

Proceedings of the IEEE International Conference on Quantum Software, 2025

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy.

Nouhaila Innan, Muhammad Kashif, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique

Proceedings of the 31st IEEE International Symposium on On-Line Testing and Robust System Design, 2025

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., June, 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., June, 2024

Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection.

Mansour El Alami, Nouhaila Innan, Muhammad Shafique, Mohamed Bennai

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

LEP-QNN: Loan Eligibility Prediction Using Quantum Neural Networks.

Nouhaila Innan, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique

CoRR, 2024

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks.

Nouhaila Innan, Alberto Marchisio, Muhammad Shafique

CoRR, 2024

MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption.

Siddhant Dutta, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique, David Esteban Bernal Neira

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, David E. Bernal Neira

CoRR, 2024

AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling.

Siddhant Dutta, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique

CoRR, 2024

Quantum Clustering for Cybersecurity.

Walid El Maouaki, Nouhaila Innan, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction.

Siddhant Dutta, Nouhaila Innan, Alberto Marchisio, Sadok Ben Yahia, Muhammad Shafique

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

FedQNN: Federated Learning using Quantum Neural Networks.

Nouhaila Innan, Muhammad Al-Zafar Khan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Enhancing quantum support vector machines through variational kernel training.

Nouhaila Innan, Muhammad Al-Zafar Khan, Biswaranjan Panda, Mohamed Bennai

Quantum Inf. Process., October, 2023

Financial Fraud Detection: A Comparative Study of Quantum Machine Learning Models.

Nouhaila Innan, Muhammad Al-Zafar Khan, Mohamed Bennai

CoRR, 2023

Simulation of a Variational Quantum Perceptron using Grover's Algorithm.

Nouhaila Innan, Mohamed Bennai

CoRR, 2023

Classical-to-Quantum Sequence Encoding in Genomics.

Nouhaila Innan, Muhammad Al-Zafar Khan

CoRR, 2023