Copertina

Quantum Machine Learning for Anomaly Detection in Consumer Electronics

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bhowmik, Sounak, Thapliyal, Himanshu
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Quantum Physics Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Quantum Transfer Learning to Boost Dementia Detection
di: Bhowmik, Sounak, et al.
Pubblicazione: (2025)

Transfer Learning Based Hybrid Quantum Neural Network Model for Surface Anomaly Detection
di: Bhowmik, Sounak, et al.
Pubblicazione: (2024)

Quantum Properties Trojans (QuPTs) for Attacking Quantum Neural Networks
di: Bhowmik, Sounak, et al.
Pubblicazione: (2025)

Detection of Physiological Data Tampering Attacks with Quantum Machine Learning
di: Onim, Md. Saif Hassan, et al.
Pubblicazione: (2025)

Quantum-Hybrid Support Vector Machines for Anomaly Detection in Industrial Control Systems
di: Cultice, Tyler, et al.
Pubblicazione: (2025)

Quantum Hybrid Support Vector Machines for Stress Detection in Older Adults
di: Onim, Md Saif Hassan, et al.
Pubblicazione: (2025)

Anomaly Detection for Real-World Cyber-Physical Security using Quantum Hybrid Support Vector Machines
di: Cultice, Tyler, et al.
Pubblicazione: (2024)

Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
di: Chen, Kuan-Cheng, et al.
Pubblicazione: (2025)

Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling
di: Kölle, Michael, et al.
Pubblicazione: (2024)

Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
di: Chaudhary, Devashish, et al.
Pubblicazione: (2026)

Emotion Recognition in Older Adults with Quantum Machine Learning and Wearable Sensors
di: Onim, Md. Saif Hassan, et al.
Pubblicazione: (2025)

A Primer on Quantum Machine Learning
di: Chang, Su Yeon, et al.
Pubblicazione: (2025)

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers
di: Du, Yuxuan, et al.
Pubblicazione: (2025)

Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
di: Fan, Fan, et al.
Pubblicazione: (2026)

Quantum Architecture Search for Solving Quantum Machine Learning Tasks
di: Kölle, Michael, et al.
Pubblicazione: (2025)

Identification and Mitigating Bias in Quantum Machine Learning
di: Swaminathan, Nandhini, et al.
Pubblicazione: (2024)

Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
di: Ordóñez, Sebastián Andrés Cajas, et al.
Pubblicazione: (2025)

Applying Quantum Autoencoders for Time Series Anomaly Detection
di: Frehner, Robin, et al.
Pubblicazione: (2024)

Machine Learning and Quantum Intelligence for Health Data Scenarios
di: Naguleswaran, Sanjeev
Pubblicazione: (2024)

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits
di: Li, Yuqing, et al.
Pubblicazione: (2024)

QuXAI: Explainers for Hybrid Quantum Machine Learning Models
di: Barua, Saikat, et al.
Pubblicazione: (2025)

Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning
di: Winderl, David, et al.
Pubblicazione: (2024)

QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning
di: Chittoor, Hari Hara Suthan, et al.
Pubblicazione: (2024)

A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance
di: Wang, Yunfei, et al.
Pubblicazione: (2024)

Quantum Entanglement as Super-Confounding: From Bell's Theorem to Robust Machine Learning
di: Kang, Pilsung
Pubblicazione: (2025)

Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
di: Hasan, Mohammad Junayed, et al.
Pubblicazione: (2023)

Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits
di: Qi, Jun, et al.
Pubblicazione: (2024)

A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods
di: Alavia, Azadeh, et al.
Pubblicazione: (2025)

Adiabatic Quantum Support Vector Machines
di: Date, Prasanna, et al.
Pubblicazione: (2024)

Flood Prediction Using Classical and Quantum Machine Learning Models
di: Grzesiak, Marek, et al.
Pubblicazione: (2024)

Quantum Machine Learning-based 6G edge Network: Enabling Adaptive Communication and Model Aggregation
di: Xiao, Wenjing, et al.
Pubblicazione: (2026)

Multi-Omic and Quantum Machine Learning Integration for Lung Subtypes Classification
di: Saggi, Mandeep Kaur, et al.
Pubblicazione: (2024)

Component Based Quantum Machine Learning Explainability
di: White, Barra, et al.
Pubblicazione: (2025)

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region
di: Khan, Muhammad Al-Zafar, et al.
Pubblicazione: (2024)

A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines
di: Chen, Yixiong
Pubblicazione: (2026)

Quantum Inspired Encoding Strategies for Machine Learning Models: Proposing and Evaluating Instance Level, Global Discrete, and Class Conditional Representations
di: Rath, Minati, et al.
Pubblicazione: (2025)

Transition Role of Entangled Data in Quantum Machine Learning
di: Wang, Xinbiao, et al.
Pubblicazione: (2023)

Tensor Networks for Explainable Machine Learning in Cybersecurity
di: Aizpurua, Borja, et al.
Pubblicazione: (2023)

Laziness, Barren Plateau, and Noise in Machine Learning
di: Liu, Junyu, et al.
Pubblicazione: (2022)

Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
di: Li, Bacui, et al.
Pubblicazione: (2024)