Image de couverture de livre

Quorum: Zero-Training Unsupervised Anomaly Detection using Quantum Autoencoders

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ludmir, Jason Zev, Rebello, Sophia, Ruiz, Jacob, Patel, Tirthak
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Emerging Technologies
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Parallax: A Compiler for Neutral Atom Quantum Computers under Hardware Constraints
par: Ludmir, Jason, et autres
Publié: (2024)

Modeling and Simulating Rydberg Atom Quantum Computers for Hardware-Software Co-design with PachinQo
par: Ludmir, Jason Zev, et autres
Publié: (2024)

QuFoundry: Generating Data with Quantum Properties for Quantum Machine Learning Utility
par: Ludmir, Jason, et autres
Publié: (2025)

Layerwise Federated Learning for Heterogeneous Quantum Clients using Quorus
par: Han, Jason, et autres
Publié: (2025)

SpinTune: Improving the Reliability of Quantum Sensor Networks for Practical Quantum-Classical Utility
par: Ludmir, Jason, et autres
Publié: (2026)

TuniQ: Autotuning Compilation Passes for Quantum Workloads at Scale for Effectiveness and Efficiency
par: Hasanat, Mohammad Abrarul, et autres
Publié: (2026)

EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data
par: Han, Jason, et autres
Publié: (2025)

Quantum Autoencoders for Anomaly Detection in Cybersecurity
par: Senthil, Rohan, et autres
Publié: (2025)

ReCon: Reconfiguring Analog Rydberg Atom Quantum Computers for Quantum Generative Adversarial Networks
par: DiBrita, Nicholas S., et autres
Publié: (2024)

Three Birds with One Stone: Improving Performance, Convergence, and System Throughput with Nest
par: Huo, Yuqian, et autres
Publié: (2025)

Applying Quantum Autoencoders for Time Series Anomaly Detection
par: Frehner, Robin, et autres
Publié: (2024)

ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers
par: DiBrita, Nicholas S., et autres
Publié: (2025)

Synthetic Pattern Generation and Detection of Financial Activities using Graph Autoencoders
par: Zola, Francesco, et autres
Publié: (2026)

Unsupervised End-to-End Training with a Self-Defined Target
par: Liu, Dongshu, et autres
Publié: (2024)

NeuroShield: A Neuro-Symbolic Framework for Adversarial Robustness
par: Sarvestani, Ali Shafiee, et autres
Publié: (2026)

Robust Anomaly Detection in O-RAN: Leveraging LLMs against Data Manipulation Attacks
par: Dayaratne, Thusitha, et autres
Publié: (2025)

Perfecting Imperfect Physical Neural Networks with Transferable Robustness using Sharpness-Aware Training
par: Xu, Tengji, et autres
Publié: (2024)

Mixed-Precision Training and Compilation for RRAM-based Computing-in-Memory Accelerators
par: Pelke, Rebecca, et autres
Publié: (2026)

AnalogCoder: Analog Circuit Design via Training-Free Code Generation
par: Lai, Yao, et autres
Publié: (2024)

Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection
par: Stein, Jonas, et autres
Publié: (2023)

On Optimizing Hyperparameters for Quantum Neural Networks
par: Herbst, Sabrina, et autres
Publié: (2024)

Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
par: Gallo, Manuel Le, et autres
Publié: (2023)

Training Variational Quantum Circuits Using Particle Swarm Optimization
par: Mordacci, Marco, et autres
Publié: (2025)

Local Binary and Multiclass SVMs Trained on a Quantum Annealer
par: Zardini, Enrico, et autres
Publié: (2024)

Quantum Synthetic Data Generation for Industrial Bioprocess Monitoring
par: Gibford, Shawn M., et autres
Publié: (2025)

Machine Learning Applications of Quantum Computing: A Review
par: Nguyen, Thien, et autres
Publié: (2024)

Hybrid Quantum-inspired Resnet and Densenet for Pattern Recognition
par: Chen, Andi, et autres
Publié: (2024)

Quantum Machine Learning in Healthcare: Evaluating QNN and QSVM Models
par: Tudisco, Antonio, et autres
Publié: (2025)

Quantum Algorithms: A New Frontier in Financial Crime Prevention
par: Weinberg, Abraham Itzhak, et autres
Publié: (2024)

Unsupervised machine learning for data-driven rock mass classification: addressing limitations in existing systems using drilling data
par: Hansen, T. F., et autres
Publié: (2024)

LPCVAE: A Conditional VAE with Long-Term Dependency and Probabilistic Time-Frequency Fusion for Time Series Anomaly Detection
par: Cheng, Hanchang, et autres
Publié: (2025)

PASS: Certified Subset Repair for Classical and Quantum Pairwise Constrained Clustering
par: Chumpitaz-Flores, Pedro, et autres
Publié: (2026)

Revisiting Noise-adaptive Transpilation in Quantum Computing: How Much Impact Does it Have?
par: Huo, Yuqian, et autres
Publié: (2025)

Q-SCALE: Quantum computing-based Sensor Calibration for Advanced Learning and Efficiency
par: Bergadano, Lorenzo, et autres
Publié: (2024)

Multivariate Time Series Forecasting with Gate-Based Quantum Reservoir Computing on NISQ Hardware
par: Hamhoum, Wissal, et autres
Publié: (2025)

QAOA-PCA: Enhancing Efficiency in the Quantum Approximate Optimization Algorithm via Principal Component Analysis
par: Parry, Owain, et autres
Publié: (2025)

Embedded Deep Learning for Bio-hybrid Plant Sensors to Detect Increased Heat and Ozone Levels
par: Aust, Till, et autres
Publié: (2025)

Generation of Optimized Solidity Code for Machine Learning Models using LLMs
par: Sham, Nikumbh Sarthak, et autres
Publié: (2025)

Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer
par: Pelke, Rebecca, et autres
Publié: (2025)

Information Transmission in Quorum Sensing for Gut Microbiome
par: Baydas, O. Tansel, et autres
Publié: (2025)