SOTAVerified

Quantum Machine Learning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–600 of 699 papers

TitleStatusHype
Generalization in quantum machine learning from few training data—0
Importance of Kernel Bandwidth in Quantum Machine LearningCode0
Representation Learning via Quantum Neural Tangent Kernels—0
Quantum tangent kernel—0
QDCNN: Quantum Dilated Convolutional Neural Network—0
Subtleties in the trainability of quantum machine learning models—0
Quantum machine learning beyond kernel methodsCode1
Variational quantum algorithm for Gaussian discrete solitons and their boson sampling—0
Performance Analysis of Quantum Machine Learning Classifiers—0
Image Compression and Classification Using Qubits and Quantum Deep Learning—0
Quantum Semi-Supervised Learning with Quantum Supremacy—0
Quantum Machine Learning for Finance—0
Entangled Datasets for Quantum Machine LearningCode1
Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper)—0
Optimizing Quantum Variational Circuits with Deep Reinforcement LearningCode1
Recent advances for quantum classifiers—0
Photonic Quantum Policy Learning in OpenAI Gym—0
Quantum Machine Learning for Health State Diagnosis and Prognostics—0
New Trends in Quantum Machine Learning—0
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation—0
Quantum Topological Data Analysis with Linear Depth and Exponential Speedup—0
Quantum Continual Learning Overcoming Catastrophic Forgetting—0
Hybrid Quantum-Classical Neural Network for Incident Detection—0
Quantum machine learning of large datasets using randomized measurementsCode1
Sample Complexity of Learning Parametric Quantum Circuits—0
A quantum algorithm for training wide and deep classical neural networksCode1
Fock State-enhanced Expressivity of Quantum Machine Learning Models—0
Quantum Data Compression and Quantum Cross EntropyCode0
Quantum Machine Learning: Fad or Future?—0
Trainable Discrete Feature Embeddings for Variational Quantum ClassifierCode0
Exponential Error Convergence in Data Classification with Optimized Random Features: Acceleration by Quantum Machine Learning—0
Variational Quanvolutional Neural Networks with enhanced image encodingCode1
The dilemma of quantum neural networksCode1
The Inductive Bias of Quantum KernelsCode0
Quantum Perceptron Revisited: Computational-Statistical TradeoffsCode0
Quantum Federated Learning with Quantum DataCode1
Automatic design of quantum feature maps—0
Quantum Embedding Search for Quantum Machine Learning—0
Structural risk minimization for quantum linear classifiers—0
Quantum Machine Learning For Classical Data—0
Optimal training of variational quantum algorithms without barren plateausCode0
Higgs analysis with quantum classifiers—0
Noise-Resilient Quantum Machine Learning for Stability Assessment of Power Systems—0
Drug Discovery Approaches using Quantum Machine Learning—0
Towards understanding the power of quantum kernels in the NISQ era—0
Federated Quantum Machine Learning—0
Quantum Machine Learning with HQC Architectures using non-Classically Simulable Feature Maps—0
Diagrammatic Differentiation for Quantum Machine Learning—0
A semi-agnostic ansatz with variable structure for quantum machine learningCode1
Quantum machine learning with differential privacy—0
Show:102550
← PrevPage 12 of 14Next →
All datasetshttps://www.kaggle.com/datasets/saurabhshahane/classification-of-malwaresiris

Benchmark Results

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