Quantum Enhanced Anomaly Detection for ADS-B Data using Hybrid Deep Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Naaman, Rani, de Magalhaes, Felipe Gohring, Ouattara, Jean-Yves, Nicolescu, Gabriela |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
New Machine Learning Approaches for Intrusion Detection in ADS-B
por: Ngamboé, Mikaëla, et al.
Publicado: (2025)
por: Ngamboé, Mikaëla, et al.
Publicado: (2025)
DivQAT: Enhancing Robustness of Quantized Convolutional Neural Networks against Model Extraction Attacks
por: Khaled, Kacem, et al.
Publicado: (2025)
por: Khaled, Kacem, et al.
Publicado: (2025)
Enhancing Network Anomaly Detection with Quantum GANs and Successive Data Injection for Multivariate Time Series
por: Hammami, Wajdi, et al.
Publicado: (2025)
por: Hammami, Wajdi, et al.
Publicado: (2025)
Anomaly Detection for Real-World Cyber-Physical Security using Quantum Hybrid Support Vector Machines
por: Cultice, Tyler, et al.
Publicado: (2024)
por: Cultice, Tyler, et al.
Publicado: (2024)
Quantum Normalizing Flows for Anomaly Detection
por: Rosenhahn, Bodo, et al.
Publicado: (2024)
por: Rosenhahn, Bodo, et al.
Publicado: (2024)
Quantum Machine Learning in Log-based Anomaly Detection: Challenges and Opportunities
por: Qi, Jiaxing, et al.
Publicado: (2024)
por: Qi, Jiaxing, et al.
Publicado: (2024)
Quantum-Hybrid Support Vector Machines for Anomaly Detection in Industrial Control Systems
por: Cultice, Tyler, et al.
Publicado: (2025)
por: Cultice, Tyler, et al.
Publicado: (2025)
Quantum Machine Learning for Anomaly Detection in Consumer Electronics
por: Bhowmik, Sounak, et al.
Publicado: (2024)
por: Bhowmik, Sounak, et al.
Publicado: (2024)
Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection
por: Mathur, Natansh, et al.
Publicado: (2025)
por: Mathur, Natansh, et al.
Publicado: (2025)
Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel
por: Tscharke, Kilian, et al.
Publicado: (2023)
por: Tscharke, Kilian, et al.
Publicado: (2023)
From Classical to Hybrid: A Practical Framework for Quantum-Enhanced Learning
por: Illésová, Silvie, et al.
Publicado: (2025)
por: Illésová, Silvie, et al.
Publicado: (2025)
Modeling Quantum Autoencoder Trainable Kernel for IoT Anomaly Detection
por: Chandrasekhar, Swathi, et al.
Publicado: (2025)
por: Chandrasekhar, Swathi, et al.
Publicado: (2025)
Towards Personalized Quantum Federated Learning for Anomaly Detection
por: Rahman, Ratun, et al.
Publicado: (2025)
por: Rahman, Ratun, et al.
Publicado: (2025)
Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
por: Chen, Kuan-Cheng, et al.
Publicado: (2025)
por: Chen, Kuan-Cheng, et al.
Publicado: (2025)
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning
por: Onim, Md. Saif Hassan, et al.
Publicado: (2025)
por: Onim, Md. Saif Hassan, et al.
Publicado: (2025)
Quantum Support Vector Regression for Robust Anomaly Detection
por: Tscharke, Kilian, et al.
Publicado: (2025)
por: Tscharke, Kilian, et al.
Publicado: (2025)
Quantum Autoencoder for Multivariate Time Series Anomaly Detection
por: Tscharke, Kilian, et al.
Publicado: (2025)
por: Tscharke, Kilian, et al.
Publicado: (2025)
Data-Driven Qubit Characterization and Optimal Control using Deep Learning
por: Surrey, Paul, et al.
Publicado: (2026)
por: Surrey, Paul, et al.
Publicado: (2026)
Hybrid Classical-Quantum Transfer Learning with Noisy Quantum Circuits
por: Martín-Pérez, D., et al.
Publicado: (2026)
por: Martín-Pérez, D., et al.
Publicado: (2026)
Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
por: Chaudhary, Devashish, et al.
Publicado: (2026)
por: Chaudhary, Devashish, et al.
Publicado: (2026)
Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection
por: Ubale, Rushikesh, et al.
Publicado: (2025)
por: Ubale, Rushikesh, et al.
Publicado: (2025)
A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum Processor
por: Wang, Maida, et al.
Publicado: (2024)
por: Wang, Maida, et al.
Publicado: (2024)
Quantum Hybrid Support Vector Machines for Stress Detection in Older Adults
por: Onim, Md Saif Hassan, et al.
Publicado: (2025)
por: Onim, Md Saif Hassan, et al.
Publicado: (2025)
Hybrid Quantum-Classical Learning for Multiclass Image Classification
por: Anwar, Shuchismita, et al.
Publicado: (2025)
por: Anwar, Shuchismita, et al.
Publicado: (2025)
Unsupervised Learning Approach to Anomaly Detection in Gravitational Wave Data
por: Fayad, Ammar
Publicado: (2024)
por: Fayad, Ammar
Publicado: (2024)
A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning
por: Cowlessur, Hevish, et al.
Publicado: (2025)
por: Cowlessur, Hevish, et al.
Publicado: (2025)
Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning
por: Marcandelli, Paolo, et al.
Publicado: (2025)
por: Marcandelli, Paolo, et al.
Publicado: (2025)
Quantum Patch-Based Autoencoder for Anomaly Segmentation
por: Madeira, Maria Francisca, et al.
Publicado: (2024)
por: Madeira, Maria Francisca, et al.
Publicado: (2024)
Deep Learning Approaches to Quantum Error Mitigation
por: Placidi, Leonardo, et al.
Publicado: (2026)
por: Placidi, Leonardo, et al.
Publicado: (2026)
Quantum Deep Learning: A Comprehensive Review
por: Ji, Yanjun, et al.
Publicado: (2026)
por: Ji, Yanjun, et al.
Publicado: (2026)
Latent Anomaly Detection Through Density Matrices
por: Gallego-Mejia, Joseph, et al.
Publicado: (2024)
por: Gallego-Mejia, Joseph, et al.
Publicado: (2024)
Predictive Performance of Deep Quantum Data Re-uploading Models
por: Wang, Xin, et al.
Publicado: (2025)
por: Wang, Xin, et al.
Publicado: (2025)
Quantum Transfer Learning for MNIST Classification Using a Hybrid Quantum-Classical Approach
por: Sarkar, Soumyadip
Publicado: (2024)
por: Sarkar, Soumyadip
Publicado: (2024)
Hybrid Heuristic Algorithms for Adiabatic Quantum Machine Learning Models
por: Alidaee, Bahram, et al.
Publicado: (2024)
por: Alidaee, Bahram, et al.
Publicado: (2024)
QTabGAN: A Hybrid Quantum-Classical GAN for Tabular Data Synthesis
por: Kumari, Subhangi, et al.
Publicado: (2026)
por: Kumari, Subhangi, et al.
Publicado: (2026)
Applying Quantum Autoencoders for Time Series Anomaly Detection
por: Frehner, Robin, et al.
Publicado: (2024)
por: Frehner, Robin, et al.
Publicado: (2024)
VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning
por: Qi, Jun, et al.
Publicado: (2025)
por: Qi, Jun, et al.
Publicado: (2025)
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning
por: Incudini, Massimiliano, et al.
Publicado: (2022)
por: Incudini, Massimiliano, et al.
Publicado: (2022)
Two-Step Data Augmentation for Masked Face Detection and Recognition: Turning Fake Masks to Real
por: Yang, Yan, et al.
Publicado: (2025)
por: Yang, Yan, et al.
Publicado: (2025)
MerLin: A Discovery Engine for Photonic and Hybrid Quantum Machine Learning
por: Notton, Cassandre, et al.
Publicado: (2026)
por: Notton, Cassandre, et al.
Publicado: (2026)
Ejemplares similares
-
New Machine Learning Approaches for Intrusion Detection in ADS-B
por: Ngamboé, Mikaëla, et al.
Publicado: (2025) -
DivQAT: Enhancing Robustness of Quantized Convolutional Neural Networks against Model Extraction Attacks
por: Khaled, Kacem, et al.
Publicado: (2025) -
Enhancing Network Anomaly Detection with Quantum GANs and Successive Data Injection for Multivariate Time Series
por: Hammami, Wajdi, et al.
Publicado: (2025) -
Anomaly Detection for Real-World Cyber-Physical Security using Quantum Hybrid Support Vector Machines
por: Cultice, Tyler, et al.
Publicado: (2024) -
Quantum Normalizing Flows for Anomaly Detection
por: Rosenhahn, Bodo, et al.
Publicado: (2024)