Research

Journals:

• Choudhary, P. K., Innan, N., Shafique, M., & Singh, R. HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction.  Quantum Mach. Intell. 8, 55 (2026). https://doi.org/10.1007/s42484-026-00390-9

• Oad, V., Pathak, P., Innan, N., Shalini, D., Shafique, M. KASPER: Kolmogorov Arnold Networks for Stock Prediction and Explainable Regimes.  Transactions on Machine Learning Research (2026). https://openreview.net/forum?id=PD4jGJQtL8 

• Alami, M. E., Innan, N., Shafique, M., & Bennai, M. Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection. Appl Intell 56, 83 (2026). https://doi.org/10.1007/s10489-026-07110-7

• Innan, N., Bennai, M., Shafique, M., & Youssef, M. Quantum Computing Research in the Arab World. Communications of the ACM. (2025). https://doi.org/10.1145/3737448 

• Dave, K., Innan, N., Behera, B. K., Mumtaz, Z., Al-Kuwari, S., & Farouk, A. SentiQNF: A Novel Approach to Sentiment Analysis Using Quantum Algorithms and Neuro-Fuzzy Systems. IEEE Transactions on Computational Social Systems (2025). https://doi.org/10.1109/TCSS.2025.3588779 

• Innan, N., Behera, B. K., Al-Kuwari, S., & Farouk, A. QNN-VRCS: A Quantum Neural Network for Vehicle Road Cooperation Systems. IEEE Transactions on Intelligent Transportation Systems (2025). https://doi.org/10.1109/TITS.2025.3538786

• Dave, K., Innan, N., Behera, B. K., Mumtaz, S., Al-Kuwari, S., & Farouk, A. Optimizing Low-Energy Carbon IIoT Systems With Quantum Algorithms: Performance Evaluation and Noise Robustness, IEEE Internet of Things Journal (2025). https://doi.org/10.1109/JIOT.2025.3540949

• Innan, N., et al. Quantum State Tomography using Quantum Machine Learning. Quantum Mach. Intell. 6, 28 (2024).  https://doi.org/10.1007/s42484-024-00162-3

• Innan, N., & Bennai, M. A Variational Quantum Perceptron with Grover's Algorithm for Efficient Classification. Physica Scripta (2024). https://doi.org/10.1088/1402-4896/ad3e38

• Innan, N., et al. Financial fraud detection using quantum graph neural networks. Quantum Mach. Intell. 6, 7 (2024). https://doi.org/10.1007/s42484-024-00143-6

• Innan, N., et al. Quantum Computing for Electronic Structure Analysis: Ground State Energy and Molecular Properties Calculations. Mater. Today Commun., vol. 38, Mar. 2024, p. 107760 (2024). https://doi.org/10.1016/j.mtcomm.2023.107760

• Innan, N., et al., Financial Fraud Detection: A Comparative Study of Quantum Machine Learning Models. Int. J. Quantum Inf. 22.02 (2023). https://doi.org/10.1142/s0219749923500442

• Innan, N., et al. Enhancing quantum support vector machines through variational kernel training. Quantum Inf Process 22, 374 (2023). https://doi.org/10.1007/s11128-023-04138-3

Conferences:

• Maouaki, W. E., Izen, M., Innan, N., Marchisio, A., & Shafique, M. Q-MALDetect: Quantum Image-Based Malware Detection and Adversarial Robustness Analysis. 2026 IEEE International Conference on Quantum Artificial Intelligence (QAI), 2026. https://arxiv.org/abs/2610.26240 

• Firc, A., Innan, N., Staněk, V., Malinka, K., Perešini, M., Lička, Z., El Maouaki, W., Marchisio, A., & Shafique, M. QBFF: Deep Quantum Bottleneck for Automatic Speaker Verification Anti-Spoofing. 2026 IEEE International Conference on Quantum Artificial Intelligence (QAI), 2026. https://arxiv.org/abs/2610.16390 

• Siddiqui, O. I., Innan, N., Zaheer, H., & Shafique, M. QIAP: A Quantum-Inspired Authentication Protocol with BB84-Based Channel Monitoring. 2026 IEEE International Conference on Quantum Artificial Intelligence (QAI), 2026. https://arxiv.org/abs/2610.16124 

• Terki, M., Innan, N., Shao, M., Kashif, M., Marchisio, A., & Shafique, M. QTestBench: A Test Framework for Evaluating LLM-Generated Quantum Code. 2026 IEEE International Conference on Quantum Artificial Intelligence (QAI), 2026. https://arxiv.org/abs/2610.13811 

• Marchisio, A., Siraj, H. M., Kashif, M., Innan, N., & Shafique, M. Q-PhotoMarket: A Design Space Exploration Framework for Photonic Hybrid Quantum Neural Networks in Financial Market Prediction. 2026 IEEE International Conference on Quantum Artificial Intelligence (QAI), 2026. https://arxiv.org/abs/2610.09641 

• Banerjee, A., Basit, A., Joseph, R. R., Innan, N., & Shafique, M. VoxelSynth3D: Interpretable Volumetric Image-Domain Metal Artifact Reduction with a Paired Synthetic CLINIC-Metal Benchmark. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2026. https://arxiv.org/abs/2610.01512 

• Innan, N., Rehman, S., & Shafique, M. Towards Fair Benchmarking of Quantum Transfer Learning for Visual Classification. 2026 IEEE International Conference on Quantum Artificial Intelligence (QAI), 2026. https://arxiv.org/abs/2605.19417 

• Marchisio, A., Ebrahim, A., Innan, N., Kashif, M., & Shafique, M. QLIF-CAST: Quantum Leaky-Integrate-and-Fire for Time-Series Weather Forecasting. 2026 IEEE International Conference on Quantum Artificial Intelligence (QAI), 2026. https://arxiv.org/abs/2605.18333 

• Njiki, J. R. M., Innan, N., Marchisio, A., Kashif, M., Dricot, J. M., & Shafique, M. Robustness Evaluation of Hybrid Quantum Neural Networks under Noise Models via System-Level Error Mitigation. 2026 IEEE International Conference on Quantum Artificial Intelligence (QAI), 2026. https://arxiv.org/abs/2604.17515 

• Ramkumar, P., Innan, N., & Shafique, M. QPredSGG: Hybrid Quantum Predicate Learning for Long-Tailed Scene Graph Generation. The 38th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2026. https://arxiv.org/abs/2606.04689 

• Mohtashim, M., Innan, N., & Shafique, M. HQTN-SER: Speech Emotion Recognition with Hybrid Quantum Tensor Networks. The 38th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2026. https://arxiv.org/abs/2605.14523  

• Douros, E., Dalampekis, K., Innan, N., Theodonis, I., & Shafique, M. QuantumChain: Blockchain-Backed Quantum Federated Learning for Financial Fraud Detection. 2026 IEEE International Conference on Quantum Computing and Engineering (QCE), 2026. https://arxiv.org/abs/2607.21449 

• Elnakhal, F., Marchisio, A., Innan, N., Falcao, G., & Shafique, M. PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks. 2026 IEEE International Conference on Quantum Computing and Engineering (QCE), 2026. https://arxiv.org/abs/2607.20045 

• Firc, A., Perešíni, M., Mrázek, V., Malinka, K., Staněk, V., Lička, Z., Innan, N., El Maouaki, W., Marchisio, A., Shafique, M. VQCSim: When Does Compile-Once Statevector Simulation Beat Generic Quantum Frameworks?. IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2026. https://arxiv.org/abs/2607.11985 

• Shao, M., Innan, N., Janardhanan, H., Kashif, M., Marchisio, A., & Shafique, M. PennySynth: RAG-Driven Data Synthesis for Automated Quantum Code Generation. 2026 IEEE International Conference on Quantum Computing and Engineering (QCE), 2026. https://arxiv.org/abs/2605.25572 

• Altrabulsi, M. K., Innan, N., Marchisio, A., Kashif, M., & Shafique, M. Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation. 2026 IEEE International Conference on Quantum Computing and Engineering (QCE), 2026. https://arxiv.org/abs/2605.20801 

• Cruz, G., Innan, N., Marchisio, A., Falcao, G., & Shafique, M. Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks. 2026 IEEE International Conference on Quantum Computing and Engineering (QCE), 2026. https://arxiv.org/abs/2605.23324  

• Pathak, P., Od, M., Innan, N., & Shafique, M. Late Breaking Results: Hardware-Efficient Quantum Reservoir Computing via Quantized Readout. In Proceedings of the 63rd ACM/IEEE Design Automation Conference (DAC '26). Association for Computing Machinery, New York, NY, USA, Article 213, 1–2. https://doi.org/10.1145/3770743.3807724 

• Marchisio, A., Kashif, M., Innan, N., & Shafique, M. Hybrid Quantum-Classical Neural Architecture Search. QNRL: Advances in Quantum Neural and Reinforcement Learning, WCCI 2026 Workshop, 2026. https://arxiv.org/abs/2605.18345 

• Innan, N., Putra, R. V. W., & Shafique, M. SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning. 2026 International Joint Conference on Neural Networks (IJCNN), Maastricht, Netherlands, 2026, pp. 1-8. https://doi.org/10.1109/IJCNN69854.2026.11729380 

• Innan, N., Rosato, A., Marchisio, A., & Shafique, M. How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations. 2026 International Joint Conference on Neural Networks (IJCNN), Maastricht, Netherlands, 2026, pp. 1-6. https://doi.org/10.1109/IJCNN69854.2026.11728756 

• Vyskubov, D., Vyskubov, K., Innan, N., & Shafique, M. Scaling Laws for Hybrid Quantum Neural Networks: Depth, Width, and Quantum-Centric Diagnostics. 2026 International Joint Conference on Neural Networks (IJCNN), Maastricht, Netherlands, 2026, pp. 1-8. https://doi.org/10.1109/IJCNN69854.2026.11729919  

• Kashif, M., Hanzalah, M.S., Innan, N., Marchisio, A., & Shafique, M. Design Space Exploration of Hybrid Quantum Neural Networks for Chronic Kidney Disease. 2026 International Joint Conference on Neural Networks (IJCNN), Maastricht, Netherlands, 2026, pp. 1-8. https://doi.org/10.1109/IJCNN69854.2026.11729143 

• Ahmed, T., Marchisio, A., Kashif, M., Innan, N., & Shafique, M. GAT-QNN: Genetic Algorithm-Based Training of Hybrid Quantum Neural Networks. 2026 International Joint Conference on Neural Networks (IJCNN), Maastricht, Netherlands, 2026, pp. 1-8. https://doi.org/10.1109/IJCNN69854.2026.11729438 

• Basit, A., Innan, N., Asif, H., Kashif, M., Marchisio, A., & Shafique, M. A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG. International Joint Conference on Neural Networks (IJCNN), 2026. https://doi.org/10.1109/IJCNN69854.2026.11729647 

• Kashif, M., Shaf, K., Marchisio, A., Innan, N., Shafique, M. FAQNAS: FLOPs-aware Hybrid Quantum Neural Architecture Search using Genetic Algorithm. 2026 Design, Automation & Test in Europe Conference (DATE), Verona, Italy, 2026, pp. 1-7.  https://doi.org/10.23919/DATE69613.2026.11539209 

• Innan, N., Maouaki, W. E., Marchisio, A., Shafique, M. Quantum Neural Networks Under Threat: Modeling Security Risks and Attack Vectors. Quantum Engineering Sciences and Technologies for Industry and Services. QUEST-IS 2025. Communications in Computer and Information Science, vol 2744. https://doi.org/10.1007/978-3-032-13855-2_12

• Innan, N., Kashif, M., Marchisio, A., Usman, M., Shafique, M. Quantum Amplitude Estimation in Practice: A Case Study in Option Pricing. QUEST-IS 2025. Communications in Computer and Information Science, vol 2743. https://doi.org/10.1007/978-3-032-13852-1_35 

• Khan, A.S., Innan, N., Kalique, A., Shafique, M. IQNN-CS: Interpretable Quantum Neural Network for Credit Scoring. Quantum Engineering Sciences and Technologies for Industry and Services. QUEST-IS 2025. Communications in Computer and Information Science, vol 2744. https://doi.org/10.1007/978-3-032-13855-2_8

• Marchisio, A., Hafeez, M.U., Innan, N., Kashif, M., Shafique, M. Q-PORT: Quantum Portfolio Optimization with Resource-Efficient Encoding and Scalability Analysis. QUEST-IS 2025. Communications in Computer and Information Science, vol 2744. https://doi.org/10.1007/978-3-032-13852-1_34 

• Innan, N., Singh, A., Shafique, M. CircuitHunt: Automated Quantum Circuit Screening for Superior Credit-Card Fraud Detection. 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI). https://doi.org/10.1109/QAI63978.2025.00073 

• Innan, N., Kashif, M., Marchisio, A.,  Gan, Y.S., Barbaresco, F., Shafique, M. QUAV: Quantum-Assisted Path Planning and Optimization for UAV Navigation with Obstacle Avoidance. 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI).  https://doi.org/10.1109/QAI63978.2025.00040 

• Innan, N., Marchisio, A., & Shafique, M. FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks. 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI). https://doi.org/10.1109/QAI63978.2025.00025 

• Kashif, M., Shaf, K., Innan, N., Marchisio, A., Shafique, M. Evaluating Quantum Amplitude Estimation for Pricing Multi-Asset Basket Options. 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI). https://doi.org/10.1109/QAI63978.2025.00076

• Maouaki, W. E., Innan, N., Marchisio, A., Said, T., Bennai, M., & Shafique, M. RobQFL: Robust Quantum Federated Learning in Adversarial Environment. 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI). https://doi.org/10.1109/QAI63978.2025.00027 

• Basit, A., Shao, M., Asif, H., Innan, N., Kashif, M., Marchisio, A., & Shafique, M. QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges. 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI). https://doi.org/10.1109/QAI63978.2025.00056 

• Innan, N., Saleem, A., Marchisio, M., & Shafique, M. Quantum Portfolio Optimization with Expert Analysis Evaluation. 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), Albuquerque, NM, USA, 2025, pp. 326-331. https://doi.org/10.1109/QCE65121.2025.10344 

• Basit, A., Shao, M., Asif, H., Innan, N., Kashif, M., Marchisio, A., & Shafique, M. PennyCoder: Efficient Domain-Specific LLMs for PennyLane-Based Quantum Code Generation. 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), Albuquerque, NM, USA, 2025, pp. 229-234. https://doi.org/10.1109/QCE65121.2025.10324 

• Innan, N., Marchisio, A., Bennai, M., & Shafique, M. LEP-QNN: Loan Eligibility Prediction Using Quantum Neural Networks. 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), Albuquerque, NM, USA, 2025, pp. 1864-1872. https://doi.org/10.1109/QCE65121.2025.00204 

• Dutta, S., Innan, N., Yahia, S. B., & Shafique, M. QAS-QTNs: Curriculum Reinforcement Learning-Driven Quantum Architecture Search for Quantum Tensor Networks. 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), Albuquerque, NM, USA, 2025, pp. 1739-1747.  https://doi.org/10.1109/QCE65121.2025.00191 

• Sawaika, A., Swetang, K., Suggisetti, D.P., Tomar, T., Lal, A., Shrivastav, T.,  Innan, N., & Shafique, M. A Privacy-Preserving Federated Framework with Hybrid Quantum-Enhanced Learning for Financial Fraud Detection. 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), Albuquerque, NM, USA, 2025, pp. 1578-1588. https://doi.org/10.1109/QCE65121.2025.00175 

• Innan, N., Kashif, M.,  Marchisio, A., Bennai, M., Shafique, M. Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy. 2025 IEEE 31st International Symposium on On-Line Testing and Robust System Design (IOLTS), Ischia, Italy, 2025, pp. 1-4. https://doi.org/10.1109/IOLTS65288.2025.11116981

• Innan, N., Marchisio, A., Bennai, M., Shafique, M. QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection. 2025 IEEE International Conference on Quantum Software (QSW), Helsinki, Finland, 2025, pp. 41-47. https://doi.org/10.1109/QSW67625.2025.00015

• Dutta, S., Innan, N., Yahia, S. B., Shafique, M., & Neira, D. E. B. MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption. 2025 International Joint Conference on Neural Networks (IJCNN), Rome, Italy, 2025, pp. 1-10. https://doi.org/10.1109/IJCNN64981.2025.11228914 

• Siddiqui, O.I., Innan, N., Marchisio, A., Bennai, M., & Shafique, M. Quantum Bayesian Networks for Machine Learning in Oil-Spill Detection. 2025 International Joint Conference on Neural Networks (IJCNN), Rome, Italy, 2025, pp. 1-8. https://doi.org/10.1109/IJCNN64981.2025.11228312 

• Dutta, S., Innan, N., Marchisio, A., Ben Yahia, S., & Shafique, M. QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction. 2024 IEEE International Conference on Quantum Computing and Engineering (QCE24), Montreal, QC, Canada, 2024, pp. 341-346. https://doi.org/10.1109/QCE60285.2024.10303

• EL Maouaki, W., Innan, N., Marchisio, A., Said, T., Bennai, M., & Shafique, M. Quantum Clustering for Cybersecurity. 2024 IEEE International Conference on Quantum Computing and Engineering (QCE24), Montreal, QC, Canada, 2024, pp. 5-10. https://doi.org/10.1109/QCE60285.2024.10243

• Innan, N., et al. FedQNN: Federated Learning using Quantum Neural Networks.  2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-9. https://doi.org/10.1109/IJCNN60899.2024.10651123 

• Pathak, P., Oad, V., Prajapati, A., Innan, N. Resource Allocation Optimization in 5G Networks using Variational Quantum Regressor. International Conference on Quantum Communications, Networking, and Computing (QCNC), Kanazawa, Japan, 2024, pp. 101-105. https://doi.org/10.1109/QCNC62729.2024.00025

Workshops:

• Dutta, S., Karanth, P. P., Xavier, P. M., De Freitas, I. L., Innan, N., Yahia, S. B.,  Shafique, M., & Neira, D. E. B. Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML. In NeurIPS 2024 Workshop Machine Learning with New Compute Paradigms 2024. https://doi.org/10.48550/arXiv.2409.11430 

• Dutta, S., Innan, N., Ben Yahia, S., & Shafique, M. AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling. In NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning 2024. https://doi.org/10.48550/arXiv.2409.01626 

Chapters:

• Innan, N., Marchisio, A., Bennai, M., & Shafique, M. (2026). Exploring quantum federated learning: Algorithms, applications, and challenges. Quantum Computational AI, 25-50. https://doi.org/10.1016/B978-0-44-330259-6.00010-4 

• Pathak, P., Innan, N., Marchisio, A., & Shafique, M. (2026). Quantum-enhanced decision-making in ACT-R: Cognitive architectures, decision-making, and quantum optimization. In Quantum Computational AI (pp. 215-249). Morgan Kaufmann. https://doi.org/10.1016/B978-0-44-330259-6.00021-9 

• Khan, M. A.-Z., Innan, N., Hammujuddy, J., & Mhlanga, D. Influencing Fair Lending Practices through the Mechanism of AI-in-the-Loop. In Financial Inclusion and Sustainable Development in Sub-Saharan Africa (1st ed., pp. 75) (2025). Routledge. (eBook ISBN: 9781003515715).  https://doi.org/10.4324/9781003515715-5

• Innan, N., Khan, M. A.-Z., Hammujuddy, J., & Mhlanga, D. Attracting investment and reducing poverty in Africa through AI technologies. In Responsible Business and Sustainable Development (1st ed., pp. 7) (2024). Routledge. (eBook ISBN: 9781032712246).  https://doi.org/10.4324/9781032712246-17

White Papers:

• White Paper 2024 - SDG Use cases, Open Quantum Institute, Geneva, Switzerland, Gesda Summit 2024. https://open-quantum-institute.cern/wp-content/uploads/2024/OQI_WhitePaper2024.pdf

Preprints:

• Rehman, S., Innan, N., & Shafique, M. QSTAR: Quantum Selective Transfer with Adaptive Routing. arXiv preprint arXiv:2607.21411 (2026). https://arxiv.org/abs/2607.21411 

• Choudhary, P. K., Innan, N., Shafique, M., & Singh, R. MDQEC-QAS: Meta-Decoding for Quantum Error Correction with Hardware-Aware VQC Search and Confidence-Gated Recovery. arXiv preprint arXiv:2607.10707 (2026). https://arxiv.org/abs/2607.10707 

• Od, M., Pathak, P., Innan, N., & Shafique, M. Quantum Reservoir Computing for Short-Term Power Load Forecasting in Resource-Constrained Energy Systems. arXiv preprint arXiv:2606.12806 (2026). https://arxiv.org/abs/2606.12806 

• Pathak, P., Oad, V., Innan, N., Ganesan, A., & Shafique, M. Game, Set, Quantum: Parameterized Quantum Circuit for Correlated Equilibrium in Bayesian Games. arXiv preprint arXiv:2606.03109 (2026).   https://arxiv.org/abs/2606.03109  

• Bhatnagar, R., Innan, N., Jothi J., A. A., & Shafique, M. Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection. arXiv preprint arXiv:2605.28879 (2026). https://arxiv.org/abs/2605.28879 

• Younesi, A., Innan, N., Marchisio, A., & Shafique, M. EFaaS: A Quantum-Classical Serverless Entangled Scheduler for Hybrid Variational Algorithms. arXiv preprint arXiv:2605.27540 (2026). https://arxiv.org/abs/2605.27540 

• Elnakhal, F., Marchisio, A., Innan, N., Falcao, G., & Shafique, M. Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices. arXiv preprint arXiv:2605.22097 (2026). https://arxiv.org/abs/2605.22097 

• Innan, N., Karthick, M. M., Sonar, S. K., Chaturvedi, V., & Shafique, M. A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction. arXiv preprint arXiv:2605.21916 (2026). https://arxiv.org/abs/2605.21916 

• Innan, A., El Alami, M., Innan, N., Shafique, M., & Bennai, M. Q-SYNTH: Hybrid Quantum-Classical Adversarial Augmentation for Imbalanced Fraud Detection. arXiv preprint arXiv:2605.21164 (2026). https://arxiv.org/abs/2605.21164 

• Alami, M. E., Innan, A., Innan, N., Shafique, M., & Bennai, M. FiD-QAE: A Fidelity-Driven Quantum Autoencoder for Credit Card Fraud Detection. arXiv preprint arXiv:2512.12689 (2025). https://arxiv.org/abs/2512.12689 

• Attalah, M., Innan, N., Kashif, M., & Shafique, M. Investigating Different Barren Plateaus Mitigation Strategies in Variational Quantum Eigensolver. arXiv preprint arXiv:2512.11171 (2025). https://arxiv.org/abs/2512.11171 

• Choudhary, P. K., Innan, N., Shafique, M., & Singh, R. Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates. arXiv preprint arXiv:2512.09586 (2025). https://arxiv.org/abs/2512.09586 

• Boutakka, Z., Innan, N., Shafique, M., Bennai, M., Sakhi, Z. Benchmarking VQE Configurations: Architectures, Initializations, and Optimizers for Silicon Ground State Energy. arXiv preprint arXiv:2510.23171 (2025). https://arxiv.org/abs/2510.23171 

• Dutta, S., Innan, N., Najafi, K., Yahia, S. B., & Shafique, M. QUIET-SR: Quantum image enhancement Transformer for single image super-resolution. arXiv preprint arXiv:2503.08759 (2025). 

• Maouaki, W. E., Innan, N., Marchisio, A., Said, T., Bennai, M., & Shafique, M. QFAL: Quantum federated adversarial learning. arXiv preprint arXiv:2502.21171 (2025). 

• Chen, I. C., Innan, N., Roy, S.K., & Saroni, J. Crossing The Gap Using Variational Quantum Eigensolver: A Comparative Study. arXiv preprint arXiv:2405.11687 (2024). https://doi.org/10.48550/arXiv.2405.11687

• Khan, MAZ., Galib, AAO., Innan, N., & Bennai, M. Brain Tumor Diagnosis Using Quantum Convolutional Neural Networks. arXiv preprint arXiv:2401.15804 (2024). https://arxiv.org/abs/2401.15804 

• Khan, MAZ., Innan, N., and Hammujuddy, J. Elucidating Common Fallacies and Misconceptions Around LLMs. Preprints. (2023). https://doi.org/10.20944/preprints202311.1559.v2  

• Innan, N., & Khan, MAZ. Classical-to-Quantum Sequence Encoding in Genomics. arXiv preprint arXiv:2304.10786 (2023). https://doi.org/10.48550/arXiv.2304.10786

• Innan, N. "QuantumChain: Blockchain-Backed Quantum Federated Learning for Financial Fraud Detection." 2026 IEEE International Conference on Quantum Computing and Engineering (QCE 2026), Toronto, Canada (Sept. 2026).

• Innan, N. "PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks." 2026 IEEE International Conference on Quantum Computing and Engineering (QCE 2026), Toronto, Canada (Sept. 2026).

• Innan, N. "PennySynth: RAG-Driven Data Synthesis for Automated Quantum Code Generation." 2026 IEEE International Conference on Quantum Computing and Engineering (QCE 2026), Toronto, Canada (Sept. 2026).

• Innan, N. "Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation." 2026 IEEE International Conference on Quantum Computing and Engineering (QCE 2026), Toronto, Canada (Sept. 2026).

• Innan, N. "Late Breaking Results: Hardware-Efficient Quantum Reservoir Computing via Quantized Readout." Design Automation Conference (DAC 2026), Long Beach, California, USA (July 2026).

• Innan, N. "Quantum Neural Networks Under Threat: Modeling Security Risks and Attack Vectors". Quantum Engineering Sciences & Technologies for Industry & Services (QUEST-IS 2025), Paris, France (Dec. 2025)

• Innan, N. "IQNN-CS: Interpretable Quantum Neural Network for Credit Scoring". Quantum Engineering Sciences & Technologies for Industry & Services (QUEST-IS 2025), Paris, France (Dec. 2025)

• Innan, N. "CircuitHunt: Automated Quantum Circuit Screening for Superior Credit-Card Fraud Detection". 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI), Naples, Italy (Nov. 2025)

• Innan, N. "QUAV: Quantum-Assisted Path Planning and Optimization for UAV Navigation with Obstacle Avoidance". 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI), Naples, Italy (Nov. 2025)

• Innan, N. "FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks". 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI), Naples, Italy (Nov. 2025)

• Innan, N. "Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy". 2025 IEEE 32th International Symposium on On-Line Testing and Robust System Design (IOLTS), Ischia, Italy (July 2025)

• Innan, N. "QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection". IEEE International Conference on Quantum Software 2025 (QSW), at the 2025 IEEE World Congress on SERVICES, Helsinki, Finland (July 2025)

• Innan, N. "MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption". 2025 International Joint Conference on Neural Networks (IJCNN), Rome, Italy (July 2025) 

• Innan, N. "Quantum-Assisted Path Planning and Optimization for UAV Navigation with Obstacles Avoidance". Quantum Innovation Summit 2025 (QIS), Dubai, UAE (Feb. 2025) 

• Innan, N. "Quantum Machine Learning: Models and Applications." International Conference on Theoretical Physics@Casablanca (ICTPC). Casablanca, Morocco (Dec. 2023)

• Innan, N. "Quantum Machine Learning for the Traveling Salesman Problem: A Variational Quantum Algorithm Approach." North Africans in Machine Learning Workshop, NeurIPS 2023 Conference. New Orleans, US (Dec. 2023)

• Innan, N. "Quantum-inspired Genomic Sequence Encoding Algorithms." IAP Meeting 2023. Ben Guerir, Morocco (Dec. 2023)

• Innan, N. "Exploiting Quantum Variational Classifier for Enhanced Classification Performance." Quantum Morocco Conference. Rabat, Morocco (Sept. 2022)

• Innan, N. "Variational Quantum Algorithms for Solving the Traveling Salesman Problem." Journées Nationales des Doctorants et Jeunes Chercheurs. Rabat, Morocco (July 2022)

• Innan, N. "Variational Quantum Eigensolver: From Theory to Applications." Warsaw IT Days 2023. Online (April 2023)

• Innan, N. "Advances in Quantum Feature Mapping for Efficient Quantum Machine Learning." International Conference Of Physics and Quantum Physics. London, UK (March 2023)

• Innan, N. "Classification and Quantum Machine Learning." MNQI PhD Day 2022: Quantum Information and their Applications. El Jadida, Morocco (Dec. 2022)

• Innan, N. "Development and Implementation of Quantum Perceptron." Journées Nationales des Doctorants et Jeunes Chercheurs. Rabat, Morocco (Nov. 2022)

• Innan, N. "A New Approach to Simulate the Quantum Boltzmann Machine." Colloque National 2022: L’Information et l’Optique Quantique et ses Applications. Larache, Morocco (July 2022)

• Innan, N. "Quantum Boltzmann Machine using the Quantum Approximate Optimization algorithm." 8ème édition de la Rencontre Nationale du Réseau Marocain de l’Information Quantique. Agadir, Morocco (June 2022)

• Innan, N. "Cosmology: Modern Trends." The Sixth ArAS School for Astrophysics (ArAS SfA-6). Doha, Qatar (March 2022)

• Innan, N., & Shafique, M. "Quantum Approaches for Efficient  and Trustworthy Financial Systems." Quantum Science and Technology for Sustainable Development (QSTSD), Khalifa University, Abu Dhabi, UAE (Dec. 2025)

• Innan, N., & Shafique, M. "Q-Compression: Quantum-Aware Model Compression Techniques for Scalable Quantum Machine Learning." Quantum Techniques in Machine Learning (QTML 2025), Singapore (Nov. 2025)

• Innan, N., & Shafique, M. "Designing Privacy-Preserving Architectures in Quantum Federated Learning." Quantum Techniques in Machine Learning (QTML 2025), Singapore (Nov. 2025)

• Siddiqui, O.I., Innan, N., Marchisio, A., Bennai, M., and Shafique, M. Quantum Bayesian Networks for Machine Learning in Oil-Spill Detection. 2025 International Joint Conference on Neural Networks (IJCNN), Rome, Italy (July 2025)

• Innan, N., & Shafique, M. "Quantum Federated Learning: Towards Secure and Private Quantum Machine Learning." 9th Annual Graduate & Postdoctoral Research Showcase, NYUAD, Abu Dhabi, UAE (May 2025)

• Innan, N., Kashif, M., Marchisio, A., & Shafique, M. "eBRAIN Lab: Quantum Machine Learning in the NISQ era." Research Institute Day | AY24-25, NYUAD, Abu Dhabi, UAE (May 2025)  

• Innan, N., Kashif, M., Marchisio, A., & Shafique, M. "Quantum Machine Learning in the NISQ era: Robust Training, Federated Learning, and Emerging Applications." TII Quantum Technology Symposium, Abu Dhabi, UAE (Jan. 2025)

• Dutta, S., Karanth, P. P., Xavier, P. M., De Freitas, I. L., Innan, N., Yahia, S. B.,  Shafique, M., and Neira, D. E. B. "Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML." ML with New Compute Paradigms Workshop (MLNCP), NeurIPS 2024, Vancouver, Canada (Dec. 2024)

• Dutta, S., Innan, N., Ben Yahia, S., and Shafique, M. "AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling." Tackling Climate Change with Machine Learning Workshop, NeurIPS 2024, Vancouver, Canada (Dec. 2024)

• Innan, N., Marchisio, A., Bennai, M., and Shafique, M. "FHQNN: A Secure Framework for Federated Learning with Hybrid Quantum Neural Networks and Differential Privacy." Quantum Techniques in Machine Learning (QTML 2024), Melbourne, Australia (Nov. 2024)

• EL Maouaki, W., Innan, N., Said, T., and Bennai, M. "Quantum-Enhanced Oncological Diagnosis: A Machine Learning Approach." Deep Learning Indaba 2024, Dakar, Senegal (Sept. 2024) (Best Poster Award)

• Siddiqui, O.I., Innan, N., and Khan, MAZ. "Bayesian Quantum Machine Learning for Quantum State Tomography: A Practical Approach." 49th International Nathiagali Summer College (INSC). Nathiagali, Pakistan (June 2024)

• EL Maouaki, W., Innan, N., Said, T., and Bennai, M. "Cancer Detection and Quantum Machine Learning." IndabaX Morocco 2024. Ifrane, Morocco (June 2024) (Best Poster Award)

• Boutakka, Z., Innan, N., Sakhi, Z., and Bennai, M. "Quantum Meets AI: Exploring New Potentials in Computing." IndabaX Morocco 2024. Ifrane, Morocco (June 2024)

• Ben Said, Y., Innan, N., Sakhi, Z., and Bennai, M. "Artificial Intelligence in Photovoltaic Parameter Optimization: A Genetic-Iterative Approach." IndabaX Morocco 2024. Ifrane, Morocco (June 2024) 

• Innan, N., and Bennai, M. "Quantum Machine Learning for the Traveling Salesman Problem: A Variational Quantum Algorithm Approach." North Africans in Machine Learning Workshop, NeurIPS 2023 Conference. New Orleans, US (Dec. 2023)

• Innan, N., Khan MAZ., and Bennai M. "Electronic Structure Calculations using Quantum Computing." 7th African School on Electronic Structure Methods and Applications - ASESMA 2023. Kigali, Rwanda (June 2023)