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Quantum Machine Learning

Papers

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Showing 101–150 of 699 papers

TitleStatusHype
On the status of current quantum machine learning software—0
Transforming Traditional Neural Networks into Neuromorphic Quantum-Cognitive Models: A Tutorial with ApplicationsCode0
Distilling Knowledge into Quantum Vision Transformers for Biomedical Image Classification—0
On the similarity of bandwidth-tuned quantum kernels and classical kernels—0
Seismic inversion using hybrid quantum neural networks—0
CQ CNN: A Hybrid Classical Quantum Convolutional Neural Network for Alzheimer's Disease Detection Using Diffusion Generated and U Net Segmented 3D MRICode0
PhishVQC: Optimizing Phishing URL Detection with Correlation Based Feature Selection and Variational Quantum Classifier—0
QCS-ADME: Quantum Circuit Search for Drug Property Prediction with Imbalanced Data and Regression Adaptation—0
Exploring the Potential of QEEGNet for Cross-Task and Cross-Dataset Electroencephalography Encoding with Quantum Machine Learning—0
AutoQML: A Framework for Automated Quantum Machine LearningCode0
Quantum Machine Learning in Precision Medicine and Drug Discovery -- A Game Changer for Tailored Treatments?—0
Expressive equivalence of classical and quantum restricted Boltzmann machines—0
Quantum autoencoders for image classification—0
Comparative Analysis of Black Hole Mass Estimation in Type-2 AGNs: Classical vs. Quantum Machine Learning and Deep Learning Approaches—0
Benchmarking MedMNIST dataset on real quantum hardware—0
Qubit-Based Framework for Quantum Machine Learning: Bridging Classical Data and Quantum Algorithms—0
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection SystemsCode0
Hyper Compressed Fine-Tuning of Large Foundation Models with Quantum Inspired Adapters—0
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M type classification—0
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning—0
Quantum automated learning with provable and explainable trainability—0
Variational decision diagrams for quantum-inspired machine learning applications—0
Implementing Large Quantum Boltzmann Machines as Generative AI Models for Dataset Balancing—0
Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers—0
Adversarial Robustness of Partitioned Quantum Classifiers—0
Hybrid Quantum Neural Networks with Amplitude Encoding: Advancing Recovery Rate Predictions—0
Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting—0
Stability and Generalization of Quantum Neural Networks—0
QuFeX: Quantum feature extraction module for hybrid quantum-classical deep neural networks—0
Representation Learning with Parameterised Quantum Circuits for Advancing Speech Emotion Recognition—0
Hybrid-Quantum Neural Architecture Search for The Proximal Policy Optimization Algorithm—0
Double descent in quantum machine learningCode0
Modeling Feature Maps for Quantum Machine Learning—0
Modeling Quantum Machine Learning for Genomic Data Analysis—0
Learning to Measure Quantum Neural Networks—0
Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study—0
Quantum Hybrid Support Vector Machines for Stress Detection in Older Adults—0
Improving Quantum Machine Learning via Heat-Bath Algorithmic Cooling—0
Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection—0
Quantum memristors for neuromorphic quantum machine learning—0
Towards structure-preserving quantum encodings—0
A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum ProcessorCode0
Opportunities and limitations of explaining quantum machine learning—0
QuLTSF: Long-Term Time Series Forecasting with Quantum Machine LearningCode0
Quantum Machine Learning in Log-based Anomaly Detection: Challenges and Opportunities—0
Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity—0
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise—0
The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits—0
Optimizing Hyperparameters for Quantum Data Re-Uploaders in Calorimetric Particle Identification—0
Data Efficient Prediction of excited-state properties using Quantum Neural Networks—0
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All datasetshttps://www.kaggle.com/datasets/saurabhshahane/classification-of-malwaresiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Quantum Neural NetworkF1 score0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1Best ModelAverage F11—Unverified