Nouhaila Innan

Orcid: 0000-0002-1014-3457

According to our database1, Nouhaila Innan authored at least 52 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
SentiQNF: A Novel Approach to Sentiment Analysis Using Quantum Algorithms and Neuro-Fuzzy Systems.
IEEE Trans. Comput. Soc. Syst., June, 2026

HQNN-FSP: A hybrid classical-quantum neural network for regression-based financial stock market prediction.
Quantum Mach. Intell., June, 2026

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection.
CoRR, May, 2026

EFaaS: A Quantum-Classical Serverless Entangled Scheduler for Hybrid Variational Algorithms.
CoRR, May, 2026

PennySynth: RAG-Driven Data Synthesis for Automated Quantum Code Generation.
CoRR, May, 2026

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks.
CoRR, May, 2026

Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices.
CoRR, May, 2026

A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction.
CoRR, May, 2026

Q-SYNTH: Hybrid Quantum-Classical Adversarial Augmentation for Imbalanced Fraud Detection.
CoRR, May, 2026

Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation.
CoRR, May, 2026

Hybrid Quantum-Classical Neural Architecture Search.
CoRR, May, 2026

QLIF-CAST: Quantum Leaky-Integrate-and-Fire for Time-Series Weather Forecasting.
CoRR, May, 2026

How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations.
CoRR, April, 2026

Design Space Exploration of Hybrid Quantum Neural Networks for Chronic Kidney Disease.
CoRR, April, 2026

Late Breaking Results: Hardware-Efficient Quantum Reservoir Computing via Quantized Readout.
CoRR, April, 2026

Comparative performance analysis of quantum machine learning architectures for credit card fraud detection.
Appl. Intell., February, 2026

Quantum vs. Classical Machine Learning: A Benchmark Study for Financial Prediction.
CoRR, January, 2026

KASPER: Kolmogorov Arnold Networks for Stock Prediction and Explainable Regimes.
Trans. Mach. Learn. Res., 2026

FAQNAS: FLOPs-aware Hybrid Quantum Neural Architecture Search using Genetic Algorithm.
Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025
Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates.
CoRR, December, 2025

QNN-VRCS: A Quantum Neural Network for Vehicle Road Cooperation Systems.
IEEE Trans. Intell. Transp. Syst., October, 2025

Benchmarking VQE Configurations: Architectures, Initializations, and Optimizers for Silicon Ground State Energy.
CoRR, October, 2025

IQNN-CS: Interpretable Quantum Neural Network for Credit Scoring.
CoRR, October, 2025

Quantum Computing Research in the Arab World.
Commun. ACM, October, 2025

Optimizing Low-Energy Carbon IIoT Systems With Quantum Algorithms: Performance Evaluation and Noise Robustness.
IEEE Internet Things J., September, 2025

RobQFL: Robust Quantum Federated Learning in Adversarial Environment.
CoRR, September, 2025

KASPER: Kolmogorov Arnold Networks for Stock Prediction and Explainable Regimes.
CoRR, July, 2025

QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges.
CoRR, June, 2025

QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution.
CoRR, March, 2025

PennyLang: Pioneering LLM-Based Quantum Code Generation with a Novel PennyLane-Centric Dataset.
CoRR, March, 2025

QFAL: Quantum Federated Adversarial Learning.
CoRR, February, 2025

QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection.
Proceedings of the IEEE International Conference on Quantum Software, 2025

A Privacy-Preserving Federated Framework with Hybrid Quantum-Enhanced Learning for Financial Fraud Detection.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

Quantum Portfolio Optimization with Expert Analysis Evaluation.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

LEP-QNN: Loan Eligibility Prediction Using Quantum Neural Networks.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

QAS-QTNs: Curriculum Reinforcement Learning-Driven Quantum Architecture Search for Quantum Tensor Networks.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

PennyCoder: Efficient Domain-Specific LLMs for PennyLane-Based Quantum Code Generation.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy.
Proceedings of the 31st IEEE International Symposium on On-Line Testing and Robust System Design, 2025

Quantum Bayesian Networks for Machine Learning in Oil-Spill Detection.
Proceedings of the International Joint Conference on Neural Networks, 2025

MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption.
Proceedings of the International Joint Conference on Neural Networks, 2025

2024
Financial fraud detection using quantum graph neural networks.
Quantum Mach. Intell., June, 2024

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

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks.
CoRR, 2024

Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML.
CoRR, 2024

AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling.
CoRR, 2024

Quantum Clustering for Cybersecurity.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

FedQNN: Federated Learning using Quantum Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Enhancing quantum support vector machines through variational kernel training.
Quantum Inf. Process., October, 2023

Financial Fraud Detection: A Comparative Study of Quantum Machine Learning Models.
CoRR, 2023

Simulation of a Variational Quantum Perceptron using Grover's Algorithm.
CoRR, 2023

Classical-to-Quantum Sequence Encoding in Genomics.
CoRR, 2023


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