| Better than classical? The subtle art of benchmarking quantum machine learning models | Mar 11, 2024 | BenchmarkingBinary Classification | CodeCode Available | 7 |
| Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators | May 23, 2025 | Quantum Machine Learning | CodeCode Available | 4 |
| Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training | Jan 5, 2024 | Quantum Machine Learning | CodeCode Available | 4 |
| TensorFlow Quantum: A Software Framework for Quantum Machine Learning | Mar 6, 2020 | BIG-bench Machine LearningMeta-Learning | CodeCode Available | 2 |
| PennyLane: Automatic differentiation of hybrid quantum-classical computations | Nov 12, 2018 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 2 |
| Fine-Tuning Large Language Models on Quantum Optimization Problems for Circuit Generation | Apr 15, 2025 | MathQuantum Machine Learning | CodeCode Available | 1 |
| QuForge: A Library for Qudits Simulation | Sep 26, 2024 | Quantum Machine Learning | CodeCode Available | 1 |
| A Quantum Leaky Integrate-and-Fire Spiking Neuron and Network | Jul 23, 2024 | DiversityQuantum Machine Learning | CodeCode Available | 1 |
| Quantum Denoising Diffusion Models | Jan 13, 2024 | DenoisingImage Generation | CodeCode Available | 1 |
| Challenges for Reinforcement Learning in Quantum Circuit Design | Dec 18, 2023 | Quantum Machine Learningreinforcement-learning | CodeCode Available | 1 |
| sQUlearn -- A Python Library for Quantum Machine Learning | Nov 15, 2023 | Quantum Machine Learning | CodeCode Available | 1 |
| Generative quantum machine learning via denoising diffusion probabilistic models | Oct 9, 2023 | DenoisingQuantum Machine Learning | CodeCode Available | 1 |
| A hybrid quantum-classical fusion neural network to improve protein-ligand binding affinity predictions for drug discovery | Sep 6, 2023 | Drug DiscoveryPrediction | CodeCode Available | 1 |
| Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK | Aug 8, 2023 | BenchmarkingGPU | CodeCode Available | 1 |
| Understanding quantum machine learning also requires rethinking generalization | Jun 23, 2023 | MemorizationQuantum Machine Learning | CodeCode Available | 1 |
| Quantum Convolutional Neural Networks for Multi-Channel Supervised Learning | May 30, 2023 | Quantum Machine Learning | CodeCode Available | 1 |
| Quantum anomaly detection in the latent space of proton collision events at the LHC | Jan 25, 2023 | Anomaly DetectionQuantum Machine Learning | CodeCode Available | 1 |
| Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning | Jan 22, 2023 | Explainable Artificial Intelligence (XAI)Quantum Machine Learning | CodeCode Available | 1 |
| Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation | Dec 22, 2022 | Dimensionality ReductionGenerative Adversarial Network | CodeCode Available | 1 |
| A kernel-based quantum random forest for improved classification | Oct 5, 2022 | General ClassificationQuantum Machine Learning | CodeCode Available | 1 |
| A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms | Aug 28, 2022 | Dimensionality ReductionQuantum Machine Learning | CodeCode Available | 1 |
| Scalable Quantum Neural Networks for Classification | Aug 4, 2022 | Binary ClassificationGeneral Classification | CodeCode Available | 1 |
| Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning | Jun 30, 2022 | Quantum Machine Learning | CodeCode Available | 1 |
| Equivariant quantum circuits for learning on weighted graphs | May 12, 2022 | Combinatorial OptimizationQuantum Machine Learning | CodeCode Available | 1 |
| Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze | Dec 14, 2021 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 |
| Quantum machine learning beyond kernel methods | Oct 25, 2021 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 |
| Entangled Datasets for Quantum Machine Learning | Sep 8, 2021 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 |
| Optimizing Quantum Variational Circuits with Deep Reinforcement Learning | Sep 7, 2021 | BIG-bench Machine LearningDeep Reinforcement Learning | CodeCode Available | 1 |
| Quantum machine learning of large datasets using randomized measurements | Aug 2, 2021 | BenchmarkingBIG-bench Machine Learning | CodeCode Available | 1 |
| A quantum algorithm for training wide and deep classical neural networks | Jul 19, 2021 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 |
| Variational Quanvolutional Neural Networks with enhanced image encoding | Jun 14, 2021 | BIG-bench Machine LearningClassification | CodeCode Available | 1 |
| The dilemma of quantum neural networks | Jun 9, 2021 | Quantum Machine Learning | CodeCode Available | 1 |
| Quantum Federated Learning with Quantum Data | May 30, 2021 | BIG-bench Machine LearningFederated Learning | CodeCode Available | 1 |
| A semi-agnostic ansatz with variable structure for quantum machine learning | Mar 11, 2021 | BIG-bench Machine LearningData Compression | CodeCode Available | 1 |
| Practical distributed quantum information processing with LOCCNet | Jan 28, 2021 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 |
| Supervised quantum machine learning models are kernel methods | Jan 26, 2021 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 |
| Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing | Jan 26, 2021 | BIG-bench Machine Learningimage-classification | CodeCode Available | 1 |
| VSQL: Variational Shadow Quantum Learning for Classification | Dec 15, 2020 | BIG-bench Machine LearningClassification | CodeCode Available | 1 |
| The power of quantum neural networks | Oct 30, 2020 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 |
| The effect of data encoding on the expressive power of variational quantum machine learning models | Aug 19, 2020 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 |
| A divide-and-conquer algorithm for quantum state preparation | Aug 4, 2020 | Quantum Machine Learning | CodeCode Available | 1 |
| Variational quantum Gibbs state preparation with a truncated Taylor series | May 18, 2020 | Quantum Machine Learning | CodeCode Available | 1 |
| Evaluation of Parameterized Quantum Circuits: on the relation between classification accuracy, expressibility and entangling capability | Mar 22, 2020 | BIG-bench Machine LearningGeneral Classification | CodeCode Available | 1 |
| Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning | Jul 8, 2019 | Quantum Machine LearningTensor Networks | CodeCode Available | 1 |
| Stochastic Entanglement Configuration for Constructive Entanglement Topologies in Quantum Machine Learning with Application to Cardiac MRI | Jul 15, 2025 | Quantum Machine Learning | —Unverified | 0 |
| Entangled Threats: A Unified Kill Chain Model for Quantum Machine Learning Security | Jul 11, 2025 | Model extractionQuantum Machine Learning | —Unverified | 0 |
| Quantum Federated Learning for Multimodal Data: A Modality-Agnostic Approach | Jul 10, 2025 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers | Jun 26, 2025 | Quantum Machine Learning | —Unverified | 0 |
| A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning | Jun 24, 2025 | Dimensionality ReductionQuantum Machine Learning | —Unverified | 0 |
| Iterative Quantum Feature Maps | Jun 24, 2025 | Contrastive Learningimage-classification | —Unverified | 0 |
