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Quantum Machine Learning

Papers

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Showing 626–650 of 699 papers

TitleStatusHype
Benchmarking MedMNIST dataset on real quantum hardware—0
Blind quantum machine learning with quantum bipartite correlator—0
Variational quantum algorithm for Gaussian discrete solitons and their boson sampling—0
Brain Tumor Diagnosis Using Quantum Convolutional Neural Networks—0
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation—0
Bringing Quantum Algorithms to Automated Machine Learning: A Systematic Review of AutoML Frameworks Regarding Extensibility for QML Algorithms—0
Can Feature Engineering Help Quantum Machine Learning for Malware Detection?—0
Can Geometric Quantum Machine Learning Lead to Advantage in Barcode Classification?—0
Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection—0
Certainty In, Certainty Out: REVQCs for Quantum Machine Learning—0
Challenges and Opportunities in Quantum Machine Learning—0
Classical surrogates for quantum learning models—0
Classification of the Fashion-MNIST Dataset on a Quantum Computer—0
Classification with Quantum Machine Learning: A Survey—0
Coherent Feed Forward Quantum Neural Network—0
Comparative Analysis of Black Hole Mass Estimation in Type-2 AGNs: Classical vs. Quantum Machine Learning and Deep Learning Approaches—0
Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study—0
Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection—0
Component Based Quantum Machine Learning Explainability—0
CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data—0
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning—0
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning—0
Quantum continual learning of quantum data realizing knowledge backward transfer—0
Coreset selection can accelerate quantum machine learning models with provable generalization—0
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise—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