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Quantum Machine Learning

Papers

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Showing 151–200 of 699 papers

TitleStatusHype
Experimental Machine Learning with Classical and Quantum Data via NMR Quantum Kernels—0
Regression and Classification with Single-Qubit Quantum Neural Networks—0
Quantum vs. Classical Machine Learning Algorithms for Software Defect Prediction: Challenges and Opportunities—0
Mitigating exponential concentration in covariant quantum kernels for subspace and real-world data—0
LEP-QNN: Loan Eligibility Prediction Using Quantum Neural Networks—0
Reinforcement learning to learn quantum states for Heisenberg scaling accuracyCode0
Lean classical-quantum hybrid neural network model for image classification—0
Quantum Pointwise Convolution: A Flexible and Scalable Approach for Neural Network Enhancement—0
The role of data-induced randomness in quantum machine learning classification tasks—0
Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region—0
Mixed-State Quantum Denoising Diffusion Probabilistic Model—0
Integrating Machine Learning and Quantum Circuits for Proton Affinity Predictions—0
A quantum inspired predictor of Parkinsons disease built on a diverse, multimodal dataset—0
Adversarial Data Poisoning Attacks on Quantum Machine Learning in the NISQ Era—0
Quantum Kernel-Based Long Short-term Memory—0
Digital-Analog Quantum Machine Learning—0
Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning—0
Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits—0
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning—0
Understanding Generalization in Quantum Machine Learning with Margins—0
Empirical Quantum Advantage Analysis of Quantum Kernel in Gene Expression Data—0
Quantum Diffusion Models for Few-Shot Learning—0
Expressivity of deterministic quantum computation with one qubit—0
Performance Analysis of Hybrid Quantum-Classical Convolutional Neural Networks for Audio ClassificationCode0
An Exponential Separation Between Quantum and Quantum-Inspired Classical Algorithms for Linear Systems—0
Information plane and compression-gnostic feedback in quantum machine learning—0
Distribution alignment based transfer fusion frameworks on quantum devices for seeking quantum advantages—0
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics—0
Quantum Deep Equilibrium ModelsCode0
Hybrid model of the kernel method for quantum computers—0
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz RegularizationCode0
Method for noise-induced regularization in quantum neural networks—0
Agnostic Process Tomography—0
Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural NetworksCode0
Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection—0
KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection—0
Integrated Encoding and Quantization to Enhance Quanvolutional Neural NetworksCode0
Q-SCALE: Quantum computing-based Sensor Calibration for Advanced Learning and Efficiency—0
Multi-Omic and Quantum Machine Learning Integration for Lung Subtypes Classification—0
Resource-efficient equivariant quantum convolutional neural networks—0
Satellite image classification with neural quantum kernels—0
OrganiQ: Mitigating Classical Resource Bottlenecks of Quantum Generative Adversarial Networks on NISQ-Era Machines—0
AQMLator -- An Auto Quantum Machine Learning E-PlatformCode0
A Hybrid Quantum Neural Network for Split Learning—0
Quantum Machine Learning in Drug Discovery: Applications in Academia and Pharmaceutical Industries—0
Scalable quantum dynamics compilation via quantum machine learning—0
LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder—0
Quantum enhanced stratification of Breast Cancer: exploring quantum expressivity for real omics dataCode0
Machine-learning based high-bandwidth magnetic sensingCode0
Quantum Kernel Learning for Small Dataset Modeling in Semiconductor Fabrication: Application to Ohmic Contact—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