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Quantum Machine Learning

Papers

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Showing 151–200 of 699 papers

TitleStatusHype
Lean classical-quantum hybrid neural network model for image classification—0
Efficient Quantum Circuits for Machine Learning Activation Functions including Constant T-depth ReLU—0
A supervised hybrid quantum machine learning solution to the emergency escape routing problem—0
Analyzing Machine Learning Performance in a Hybrid Quantum Computing and HPC Environment—0
Empirical Quantum Advantage Analysis of Quantum Kernel in Gene Expression Data—0
Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning—0
Enabling Non-Linear Quantum Operations through Variational Quantum Splines—0
Enhanced Quantum Synchronization via Quantum Machine Learning—0
Enhancing Generative Models via Quantum Correlations—0
Enhancing Quantum Adversarial Robustness by Randomized Encodings—0
Enhancing Quantum Support Vector Machines through Variational Kernel Training—0
Automatic design of quantum feature maps—0
EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data—0
Discrete Randomized Smoothing Meets Quantum Computing—0
Entangled Threats: A Unified Kill Chain Model for Quantum Machine Learning Security—0
First steps towards quantum machine learning applied to the classification of event-related potentials—0
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits—0
Evaluating Efficacy of Model Stealing Attacks and Defenses on Quantum Neural Networks—0
Evaluating quantum generative models via imbalanced data classification benchmarks—0
Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine Algorithm: A Medical Dataset Application—0
Basic protocols in quantum reinforcement learning with superconducting circuits—0
Distribution alignment based transfer fusion frameworks on quantum devices for seeking quantum advantages—0
Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity—0
BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms—0
Noise robustness and experimental demonstration of a quantum generative adversarial network for continuous distributions—0
Experimental Machine Learning with Classical and Quantum Data via NMR Quantum Kernels—0
Experimental quantum adversarial learning with programmable superconducting qubits—0
Benchmarking data encoding methods in Quantum Machine Learning—0
Experimental robustness benchmark of quantum neural network on a superconducting quantum processor—0
eXplainable AI for Quantum Machine Learning—0
Arbitrary Polynomial Separations in Trainable Quantum Machine Learning—0
Exploiting symmetry in variational quantum machine learning—0
Federated Quantum Machine Learning with Differential Privacy—0
Exploring Biological Neuronal Correlations with Quantum Generative Models—0
Blind quantum machine learning with quantum bipartite correlator—0
Exploring the Potential of QEEGNet for Cross-Task and Cross-Dataset Electroencephalography Encoding with Quantum Machine Learning—0
Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks using a Malware Dataset: A Comparative Analysis—0
Topological data analysis on noisy quantum computers—0
Exponential concentration in quantum kernel methods—0
Exponential Error Convergence in Data Classification with Optimized Random Features: Acceleration by Quantum Machine Learning—0
Exponential separations between classical and quantum learners—0
Expressibility-induced Concentration of Quantum Neural Tangent Kernels—0
Expressive equivalence of classical and quantum restricted Boltzmann machines—0
A Case For Noisy Shallow Gate-Based Circuits In Quantum Machine Learning—0
Expressive variational quantum circuits provide inherent privacy in federated learning—0
Expressivity of deterministic quantum computation with one qubit—0
Facial Expression Recognition on a Quantum Computer—0
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions—0
Statistical Limits of Supervised Quantum Learning—0
Federated 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