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Quantum Machine Learning

Papers

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Showing 301–350 of 699 papers

TitleStatusHype
PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud—0
Privacy-preserving quantum federated learning via gradient hiding—0
Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classification—0
Prospects and challenges of quantum finance—0
Prospects of Privacy Advantage in Quantum Machine Learning—0
Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits—0
QCS-ADME: Quantum Circuit Search for Drug Property Prediction with Imbalanced Data and Regression Adaptation—0
QDCNN: Quantum Dilated Convolutional Neural Network—0
QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding—0
QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection—0
QGAN-based data augmentation for hybrid quantum-classical neural networks—0
QKSAN: A Quantum Kernel Self-Attention Network—0
QKSA: Quantum Knowledge Seeking Agent -- resource-optimized reinforcement learning using quantum process tomography—0
QSAN: A Near-term Achievable Quantum Self-Attention Network—0
Q-SCALE: Quantum computing-based Sensor Calibration for Advanced Learning and Efficiency—0
QSpeckleFilter: a Quantum Machine Learning approach for SAR speckle filtering—0
Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis—0
Quantized Single-Ion-Channel Hodgkin-Huxley Model for Quantum Neurons—0
Quantized Three-Ion-Channel Neuron Model for Neural Action Potentials—0
Quantum activation functions for quantum neural networks—0
Quantum Adversarial Machine Learning—0
Quantum AI for Alzheimer's disease early screening—0
Quantum Algorithms: A New Frontier in Financial Crime Prevention—0
Quantum algorithms for feedforward neural networks—0
Quantum Artificial Life in an IBM Quantum Computer—0
Quantum-Assisted Machine Learning Models for Enhanced Weather Prediction—0
Quantum-Assisted Simulation: A Framework for Developing Machine Learning Models in Quantum Computing—0
Quantum Autoencoder for Multivariate Time Series Anomaly Detection—0
Quantum autoencoders for image classification—0
Quantum Autoencoders for Learning Quantum Channel Codes—0
Quantum autoencoders via quantum adders with genetic algorithms—0
Quantum automated learning with provable and explainable trainability—0
Quantum Bayesian Computation—0
Quantum Capsule Networks—0
Quantum Circuit C^*-algebra Net—0
Quantum-classical convolutional neural networks in radiological image classification—0
Quantum-Classical Hybrid Information Processing via a Single Quantum System—0
Quantum classification of the MNIST dataset with Slow Feature Analysis—0
Quantum Complex-Valued Self-Attention Model—0
Quantum Computing for Climate Resilience and Sustainability Challenges—0
Quantum Continual Learning Overcoming Catastrophic Forgetting—0
Quantum Convolutional Neural Networks are (Effectively) Classically Simulable—0
Quantum Convolutional Neural Networks for High Energy Physics Data Analysis—0
Quantum Cross Entropy and Maximum Likelihood Principle—0
Quantum Curriculum Learning—0
Quantum Deep Hedging—0
Quantum deep recurrent reinforcement learning—0
Quantum Deep Sets and Sequences—0
Quantum-Inspired Computing: Can it be a Microscopic Computing Model of the Brain?—0
Quantum Diffusion Models for Few-Shot 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