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Quantum Machine Learning

Papers

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Showing 451–500 of 699 papers

TitleStatusHype
eXplainable AI for Quantum Machine Learning—0
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator LearningCode0
Unclonability and Quantum Cryptanalysis: From Foundations to Applications—0
Classical ensemble of Quantum-classical ML algorithms for Phishing detection in Ethereum transaction networksCode0
Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classification—0
Quantum deep recurrent reinforcement learning—0
Towards Quantum-Enabled 6G Slicing—0
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks—0
Theory for Equivariant Quantum Neural Networks—0
Representation Theory for Geometric Quantum Machine Learning—0
An efficient combination strategy for hybird quantum ensemble classifier—0
QuCNN : A Quantum Convolutional Neural Network with Entanglement Based Backpropagation—0
A kernel-based quantum random forest for improved classificationCode1
quEEGNet: Quantum AI for Biosignal Processing—0
Parameterized Quantum Circuits with Quantum Kernels for Machine Learning: A Hybrid Quantum-Classical Approach—0
Topological data analysis on noisy quantum computers—0
The role of entanglement for enhancing the efficiency of quantum kernels towards classification—0
Quantum-Classical Hybrid Information Processing via a Single Quantum System—0
A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithmsCode1
Exponential concentration in quantum kernel methods—0
Quantum Multi-Agent Meta Reinforcement Learning—0
Heart Disease Detection using Quantum Computing and Partitioned Random Forest Methods—0
Quantum Bayesian Computation—0
Mixed Quantum-Classical Method For Fraud Detection with Quantum Feature Selection—0
Quantum Machine Learning for Material Synthesis and Hardware Security—0
Measuring incompatibility and clustering quantum observables with a quantum switch—0
On establishing learning separations between classical and quantum machine learning with classical data—0
An example of use of Variational Methods in Quantum Machine Learning—0
Scalable Quantum Neural Networks for ClassificationCode1
Active Learning on a Programmable Photonic Quantum Processor—0
Quantum Machine Learning for Distributed Quantum Protocols with Local Operations and Noisy Classical CommunicationsCode0
Verifying Fairness in Quantum Machine LearningCode0
Quantum Feature Extraction for THz Multi-Layer Imaging—0
Towards Super-polynomial Quantum Speedup of Equivariant Quantum Algorithms with SU(d) Symmetry—0
QSAN: A Near-term Achievable Quantum Self-Attention Network—0
A single T-gate makes distribution learning hard—0
Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learningCode1
Variational Quantum Approximate Support Vector Machine with Inference TransferCode0
Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization—0
Classical surrogates for quantum learning models—0
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets—0
Quantum-machine-learning channel discrimination—0
Laziness, Barren Plateau, and Noise in Machine Learning—0
Recent Advances for Quantum Neural Networks in Generative Learning—0
Overfitting in quantum machine learning and entangling dropout—0
Quantum Kerr Learning—0
Estimating the randomness of quantum circuit ensembles up to 50 qubits—0
Machine learning applications for noisy intermediate-scale quantum computers—0
AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications—0
Evolution strategies: Application in hybrid quantum-classical 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