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Quantum Machine Learning

Papers

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Showing 501–550 of 699 papers

TitleStatusHype
Subtleties in the trainability of quantum machine learning models—0
Supervised Learning Using a Dressed Quantum Network with "Super Compressed Encoding": Algorithm and Quantum-Hardware-Based Implementation—0
From probabilistic graphical models to generalized tensor networks for supervised learning—0
Supervised Quantum Learning without Measurements—0
Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications—0
Symmetry breaking in geometric quantum machine learning in the presence of noise—0
Symmetry-invariant quantum machine learning force fields—0
Systematic Literature Review: Quantum Machine Learning and its applications—0
Tensor networks for quantum machine learning—0
Classical Simulation of Variational Quantum Classifiers using Tensor Rings—0
Tetra-AML: Automatic Machine Learning via Tensor Networks—0
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine—0
The curse of random quantum data—0
The Learnability of Unknown Quantum Measurements—0
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks—0
Theory for Equivariant Quantum Neural Networks—0
The quantum cost function concentration dependency on the parametrization expressivity—0
The Quantum Imitation Game: Reverse Engineering of Quantum Machine Learning Models—0
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning—0
The Robustness Verification of Linear Sound Quantum Classifiers—0
The role of data embedding in equivariant quantum convolutional neural networks—0
The role of data-induced randomness in quantum machine learning classification tasks—0
The Shift to 6G Communications: Vision and Requirements—0
The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits—0
Topographic Representation for Quantum Machine Learning—0
Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection—0
Towards an in-depth detection of malware using distributed QCNN—0
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning—0
Towards quantum advantage via topological data analysis—0
Towards Quantum-Enabled 6G Slicing—0
Towards Quantum Machine Learning with Tensor Networks—0
Towards structure-preserving quantum encodings—0
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines—0
Towards understanding the power of quantum kernels in the NISQ era—0
TQml Simulator: Optimized Simulation of Quantum Machine Learning—0
Training-efficient density quantum machine learning—0
Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization—0
Transfer Learning for Quantum Classifiers: An Information-Theoretic Generalization Analysis—0
Unclonability and Quantum Cryptanalysis: From Foundations to Applications—0
Understanding Generalization in Quantum Machine Learning with Margins—0
Unifying (Quantum) Statistical and Parametrized (Quantum) Algorithms—0
Universal Adversarial Examples and Perturbations for Quantum Classifiers—0
Universal adversarial perturbations for multiple classification tasks with quantum classifiers—0
Universal Approximation Property of Quantum Machine Learning Models in Quantum-Enhanced Feature Spaces—0
Universal discriminative quantum neural networks—0
Universal replication of chaotic characteristics by classical and quantum machine learning—0
Unleashing the Expressive Power of Pulse-Based Quantum Neural Networks—0
Using Quantum Solved Deep Boltzmann Machines to Increase the Data Efficiency of RL Agents—0
Variational decision diagrams for quantum-inspired machine learning applications—0
Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis—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