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Quantum Machine Learning

Papers

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Showing 351–400 of 699 papers

TitleStatusHype
Improving Convergence for Quantum Variational Classifiers using Weight Re-Mapping—0
Improving Gradient Methods via Coordinate Transformations: Applications to Quantum Machine Learning—0
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly—0
Improving Quantum Machine Learning via Heat-Bath Algorithmic Cooling—0
Incremental Data-Uploading for Full-Quantum Classification—0
Information plane and compression-gnostic feedback in quantum machine learning—0
In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods—0
Integrating Machine Learning and Quantum Circuits for Proton Affinity Predictions—0
Inter-case Predictive Process Monitoring: A candidate for Quantum Machine Learning?—0
Introduction to Quantum Machine Learning and Quantum Architecture Search—0
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation—0
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey—0
Investigating Quantum Feature Maps in Quantum Support Vector Machines for Lung Cancer Classification—0
Iterative Quantum Feature Maps—0
KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection—0
LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder—0
Laziness, Barren Plateau, and Noise in Machine Learning—0
Learning Robust Observable to Address Noise in Quantum Machine Learning—0
Learning to Measure Quantum Neural Networks—0
Learning To Optimize Quantum Neural Network Without Gradients—0
Learning to Program Quantum Measurements for Machine Learning—0
Learning to Program Variational Quantum Circuits with Fast Weights—0
Learning unitaries with quantum statistical queries—0
LEP-QNN: Loan Eligibility Prediction Using Quantum Neural Networks—0
Let Quantum Neural Networks Choose Their Own Frequencies—0
Leveraging Diffusion Models for Parameterized Quantum Circuit Generation—0
Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits—0
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics—0
Machine learning applications for noisy intermediate-scale quantum computers—0
Machine Learning Applications of Quantum Computing: A Review—0
Machine Learning for Quantum Computing Specialists—0
Machine Learning Phase Transitions with a Quantum Processor—0
MAQA: A Quantum Framework for Supervised Learning—0
Measuring incompatibility and clustering quantum observables with a quantum switch—0
Method for noise-induced regularization in quantum neural networks—0
Mitigating exponential concentration in covariant quantum kernels for subspace and real-world data—0
Mixed Quantum-Classical Method For Fraud Detection with Quantum Feature Selection—0
Mixed-State Quantum Denoising Diffusion Probabilistic Model—0
Model-Driven Quantum Federated Learning (QFL)—0
Modeling Feature Maps for Quantum Machine Learning—0
Modeling Quantum Machine Learning for Genomic Data Analysis—0
Molecular Quantum Transformer—0
MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers—0
Multiclass classification using quantum convolutional neural networks with hybrid quantum-classical learning—0
Multi-Omic and Quantum Machine Learning Integration for Lung Subtypes Classification—0
Multiple Embeddings for Quantum Machine Learning—0
Mutual Information Maximizing Quantum Generative Adversarial Network and Its Applications in Finance—0
Evolution strategies: Application in hybrid quantum-classical neural networks—0
Neural auto-designer for enhanced quantum kernels—0
New Trends in Quantum Machine Learning—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