MNIST

70,000 28×28 grayscale images of handwritten digits (0–9) — the classic image-classification benchmark.

Papers using MNIST (59)

Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints2025 · 3 citesTypical Machine Learning Datasets as Low-Depth Quantum Circuits2025 · 1 citesSingle-Qudit Quantum Neural Networks for Multiclass Classification2025 · 1 citesQuantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework2026Towards the implementation of a quantum classifier2026Quantum State Preparation via Neural Network Encoding in Quantum Machine Learning2026Support Vector Machine with a Scalable Quantum Kernel2026A hardware efficient quantum residual neural network without post-selection2026Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation2026Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion2026Beyond Barren Plateaus: A Scalable Quantum Convolutional Architecture for High-Fidelity Image Classification2026Efficient State Preparation for Quantum Machine Learning2026Beyond Optimization: Harnessing Quantum Annealer Dynamics for Machine Learning2026Differentiable Architecture Search for Adversarially Robust Quantum Computer Vision2026LiePrune: Lie Group and Quantum Geometric Dual Representation for One-Shot Structured Pruning of Quantum Neural Networks2025Fidelity-Preserving Quantum Encoding for Quantum Neural Networks2025HattriQ: Designing Integrated Gradients for Feature Attribution in Quantum Machine Learning2025Quantum feature-map learning with reduced resource overhead2025A Collaborative Framework for Quantum Optimisation and Quantum Neural Networks: Credit Feature Selection and Image Classification2025Triplet Loss Based Quantum Encoding for Class Separability2025You Only Measure Once: On Designing Single-Shot Quantum Machine Learning Models2025Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning2025Selective Feature Re-Encoded Quantum Convolutional Neural Network with Joint Optimization for Image Classification2025Genetic Transformer-Assisted Quantum Neural Networks for Optimal Circuit Design2025A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning2025Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles2025Solving MNIST with a globally trained Mixture of Quantum Experts2025Physics-inspired Generative AI models via real hardware-based noisy quantum diffusion2025HQCC: A Hybrid Quantum-Classical Classifier with Adaptive Structure2025Simulating Nonlinearity in Quantum Neural Networks While Mitigating Barren Plateaus2025Realizing Quantum Adversarial Defense on a Trapped-ion Quantum Processor2025Natural Quantization of Neural Networks2025Unsupervised Feature Extraction and Reconstruction Using Parameterized Quantum Circuits2025Bit-bit encoding, optimizer-free training and sub-net initialization: techniques for scalable quantum machine learning2025Enhancing the expressivity of quantum neural networks with residual connections2024 · 15 citesGeneralization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey2024 · 8 citesMulti-Class Quantum Convolutional Neural Networks2024 · 6 citesTraining Classical Neural Networks by Quantum Machine Learning2024 · 3 citesQuantum Bayes Classifiers and Their Application in Image Classification2024 · 2 citesQuantum Denoising Diffusion Models2024 · 2 citesPermutation-equivariant quantum convolutional neural networks2024 · 2 citesQAHAN: A Quantum Annealing Hard Attention Network2024 · 2 citesValidating Large-Scale Quantum Machine Learning: Efficient Simulation of Quantum Support Vector Machines Using Tensor Networks2024 · 1 citesQuantum Transfer Learning for MNIST Classification Using a Hybrid Quantum-Classical Approach2024 · 1 citesLet the Quantum Creep In: Designing Quantum Neural Network Models by Gradually Swapping Out Classical Components2024 · 1 citesQuantum Deep Equilibrium Models2024 · 1 citesRegression and Classification with Single-Qubit Quantum Neural Networks2024 · 1 citesVariational Quantum Domain Adaptation2023Distributed Quantum Neural Networks via Partitioned Features Encoding2023Enhancing a Convolutional Autoencoder with a Quantum Approximate Optimization Algorithm for Image Noise Reduction2024Qubit-Wise Architecture Search Method for Variational Quantum Circuits2024Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension2024Parallel Proportional Fusion of Spiking Quantum Neural Network for Optimizing Image Classification2024Quantum-inspired activation functions and quantum Chebyshev-polynomial network2024Non-Unitary Quantum Machine Learning2024Quantum Hamiltonian Embedding of Images for Data Reuploading Classifiers2024Comparing Quantum Encoding Techniques2024Enhancing Quantum Diffusion Models with Pairwise Bell State Entanglement2024Optimizing Quantum Embedding using Genetic Algorithm for QML Applications2024