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Quantum Machine Learning

Papers

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Showing 151–200 of 699 papers

TitleStatusHype
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise—0
Coreset selection can accelerate quantum machine learning models with provable generalization—0
Quantum continual learning of quantum data realizing knowledge backward transfer—0
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images—0
A hybrid quantum-classical conditional generative adversarial network algorithm for human-centered paradigm in cloud—0
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning—0
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning—0
CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data—0
Component Based Quantum Machine Learning Explainability—0
Agnostic Process Tomography—0
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles—0
3D-QAE: Fully Quantum Auto-Encoding of 3D Point Clouds—0
Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection—0
Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study—0
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M type classification—0
Comparative Analysis of Black Hole Mass Estimation in Type-2 AGNs: Classical vs. Quantum Machine Learning and Deep Learning Approaches—0
Coherent Feed Forward Quantum Neural Network—0
A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods—0
Classification with Quantum Machine Learning: A Survey—0
Classification of the Fashion-MNIST Dataset on a Quantum Computer—0
A Novel Stochastic LSTM Model Inspired by Quantum Machine Learning—0
Classical surrogates for quantum learning models—0
A Novel Image Classification Framework Based on Variational Quantum Algorithms—0
Adaptive Non-local Observable on Quantum Neural Networks—0
Challenges and Opportunities in Quantum Machine Learning—0
A novel feature selection method based on quantum support vector machine—0
Certainty In, Certainty Out: REVQCs for Quantum Machine Learning—0
Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection—0
An Invitation to Distributed Quantum Neural Networks—0
A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models—0
Can Geometric Quantum Machine Learning Lead to Advantage in Barcode Classification?—0
Can Feature Engineering Help Quantum Machine Learning for Malware Detection?—0
An Introduction to Quantum Machine Learning for Engineers—0
Bringing Quantum Algorithms to Automated Machine Learning: A Systematic Review of AutoML Frameworks Regarding Extensibility for QML Algorithms—0
Exponential separations between classical and quantum learners—0
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation—0
An Independent Implementation of Quantum Machine Learning Algorithms in Qiskit for Genomic Data—0
Active Learning on a Programmable Photonic Quantum Processor—0
VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning—0
Certifiably Robust Encoding Schemes—0
Exponential Error Convergence in Data Classification with Optimized Random Features: Acceleration by Quantum Machine Learning—0
Expressibility-induced Concentration of Quantum Neural Tangent Kernels—0
Expressive equivalence of classical and quantum restricted Boltzmann machines—0
Exponential concentration in quantum kernel methods—0
Expressive variational quantum circuits provide inherent privacy in federated learning—0
Expressivity of deterministic quantum computation with one qubit—0
Facial Expression Recognition on a Quantum Computer—0
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions—0
Statistical Limits of Supervised Quantum Learning—0
Brain Tumor Diagnosis Using Quantum Convolutional 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