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Quantum Machine Learning

Papers

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Showing 601–650 of 699 papers

TitleStatusHype
A Novel Image Classification Framework Based on Variational Quantum Algorithms—0
A Novel Stochastic LSTM Model Inspired by Quantum Machine Learning—0
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M type classification—0
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images—0
A Quantum-Based Machine Learning Approach for Autism Detection Using Common Spatial Patterns of EEG Signals—0
A quantum generative model for multi-dimensional time series using Hamiltonian learning—0
A quantum inspired predictor of Parkinsons disease built on a diverse, multimodal dataset—0
A quantum tug of war between randomness and symmetries on homogeneous spaces—0
A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning—0
A Quick Introduction to Quantum Machine Learning for Non-Practitioners—0
Arbitrary Polynomial Separations in Trainable Quantum Machine Learning—0
A Single-Step Multiclass SVM based on Quantum Annealing for Remote Sensing Data Classification—0
A single T-gate makes distribution learning hard—0
Assessing the Impact of Noise on Quantum Neural Networks: An Experimental Analysis—0
A supervised hybrid quantum machine learning solution to the emergency escape routing problem—0
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead—0
Asynchronous training of quantum reinforcement learning—0
Automated Vulnerability Detection in Source Code Using Quantum Natural Language Processing—0
Automatic design of quantum feature maps—0
AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications—0
A walk through of time series analysis on quantum computers—0
Basic protocols in quantum reinforcement learning with superconducting circuits—0
BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms—0
Benchmarking Adversarially Robust Quantum Machine Learning at Scale—0
Benchmarking data encoding methods in Quantum Machine Learning—0
Benchmarking MedMNIST dataset on real quantum hardware—0
Blind quantum machine learning with quantum bipartite correlator—0
Variational quantum algorithm for Gaussian discrete solitons and their boson sampling—0
Brain Tumor Diagnosis Using Quantum Convolutional Neural Networks—0
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation—0
Bringing Quantum Algorithms to Automated Machine Learning: A Systematic Review of AutoML Frameworks Regarding Extensibility for QML Algorithms—0
Can Feature Engineering Help Quantum Machine Learning for Malware Detection?—0
Can Geometric Quantum Machine Learning Lead to Advantage in Barcode Classification?—0
Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection—0
Certainty In, Certainty Out: REVQCs for Quantum Machine Learning—0
Challenges and Opportunities in Quantum Machine Learning—0
Classical surrogates for quantum learning models—0
Classification of the Fashion-MNIST Dataset on a Quantum Computer—0
Classification with Quantum Machine Learning: A Survey—0
Coherent Feed Forward Quantum Neural Network—0
Comparative Analysis of Black Hole Mass Estimation in Type-2 AGNs: Classical vs. Quantum Machine Learning and Deep Learning Approaches—0
Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study—0
Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection—0
Component Based Quantum Machine Learning Explainability—0
CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data—0
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning—0
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning—0
Quantum continual learning of quantum data realizing knowledge backward transfer—0
Coreset selection can accelerate quantum machine learning models with provable generalization—0
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise—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