mlsanityData to 7 Oct 2026

Quantum machine learning for image classification

arXiv 2304.09224 ↗First posted 18 Apr 2023quant-ph cs.CV cs.LGcited by 56

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Abstract (arXiv)

Image classification, a pivotal task in multiple industries, faces computational challenges due to the burgeoning volume of visual data. This research addresses these challenges by introducing two quantum machine learning models that leverage the principles of quantum mechanics for effective computations. Our first model, a hybrid quantum neural network with parallel quantum circuits, enables the execution of computations even in the noisy intermediate-scale quantum era, where circuits with a large number of qubits are currently infeasible. This model demonstrated a record-breaking classification accuracy of 99.21% on the full MNIST dataset, surpassing the performance of known quantum-classical models, while having eight times fewer parameters than its classical counterpart. Also, the results of testing this hybrid model on a Medical MNIST (classification accuracy over 99%), and on CIFAR-10 (classification accuracy over 82%), can serve as evidence of the generalizability of the model and highlights the efficiency of quantum layers in distinguishing common features of input data. Our second model introduces a hybrid quantum neural network with a Quanvolutional layer, reducing image resolution via a convolution process. The model matches the performance of its classical counterpart, having four times fewer trainable parameters, and outperforms a classical model with equal weight parameters. These models represent advancements in quantum machine learning research and illuminate the path towards more accurate image classification systems.

Key facts. Cited by 56 papers in the map (data through 7 Oct 2026). Builds on 27 of its 83 references that are in the map. First posted on arXiv 18 Apr 2023.

Builds on

27 of 83 references.

References · 27

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
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  7. 2017A Survey on Deep Learning in Medical Image Analysiscited by 1,182
  8. 2018MnasNet: Platform-Aware Neural Architecture Search for Mobilecited by 937
  9. 2018Supervised learning with quantum enhanced feature spacescited by 654
  10. 2020The effect of data encoding on the expressive power of variational quantum machine learning modelscited by 328
  11. 2019MixConv: Mixed Depthwise Convolutional Kernelscited by 108
  12. 2021Quantum machine learning beyond kernel methodscited by 91
15 more
  1. 2020Experimental Quantum Generative Adversarial Networks for Image Generationcited by 83
  2. 2014Quantum Deep Learningcited by 31
  3. 2022Hybrid quantum neural network for drug response predictioncited by 25
  4. 2022Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generationcited by 22
  5. 2022Benchmarking simulated and physical quantum processing units using quantum and hybrid algorithmscited by 18
  6. 2022Hybrid quantum ResNet for car classification and its hyperparameter optimizationcited by 17
  7. 2022An exponentially-growing family of universal quantum circuitscited by 17
  8. 2023Quantum algorithms applied to satellite mission planning for Earth observationcited by 17
  9. 2022Multiclass classification using quantum convolutional neural networks with hybrid quantum-classical learningcited by 16
  10. 2022Practical application-specific advantage through hybrid quantum computingcited by 16
  11. 2021Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper)cited by 14
  12. 2023Parallel Hybrid Networks: an interplay between quantum and classical neural networkscited by 14
  13. 2022Scalable Quantum Convolutional Neural Networkscited by 5
  14. 2023Variational Quantum Neural Networks (VQNNS) in Image Classificationcited by 4
  15. 2023Hybrid quantum-classical convolutional neural networks to improve molecular protein binding affinity predictionscited by 2

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Citing papers per year: 2023: 10; 2024: 10; 2025: 20; 2026: 16.

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  1. 2023Hybrid quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapescited by 18
  2. 2023Hybrid quantum image classification and federated learning for hepatic steatosis diagnosiscited by 15
  3. 2025Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computerscited by 14
  4. 2023Forecasting steam mass flow in power plants using the parallel hybrid networkcited by 10
  5. 2023Hybrid quantum cycle generative adversarial network for small molecule generationcited by 8
  6. 2023A supervised hybrid quantum machine learning solution to the emergency escape routing problemcited by 7
  7. 2023Photovoltaic power forecasting using quantum machine learningcited by 7
  8. 2024Method for noise-induced regularization in quantum neural networkscited by 7
  9. 2025Quantum Visual Fields with Neural Amplitude Encodingcited by 6
  10. 2024Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Imagescited by 5
  11. 2025Quantum-enhanced Computer Vision: Going Beyond Classical Algorithmscited by 5
  12. 2024Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rulecited by 4
38 more
  1. 2024Lean classical-quantum hybrid neural network model for image classificationcited by 4
  2. 2025QuFeX: Quantum feature extraction module for hybrid quantum-classical deep neural networkscited by 4
  3. 2025Towards Personalized Quantum Federated Learning for Anomaly Detectioncited by 4
  4. 2023A Novel Image Classification Framework Based on Variational Quantum Algorithmscited by 3
  5. 2024Classification and reconstruction for single-pixel imaging with classical and quantum neural networkscited by 2
  6. 2024Satellite image classification with neural quantum kernelscited by 2
  7. 2025Quantum autoencoders for image classificationcited by 2
  8. 2025QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolutioncited by 2
  9. 2025Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networkscited by 2
  10. 2025TabularQGAN: A quantum generative model for tabular data synthesiscited by 2
  11. 2025Practical insights on the effect of different encodings, ans"atze and measurements in quantum and hybrid convolutional neural networkscited by 2
  12. 2023Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Modelscited by 1
  13. 2023Application of Quantum Pre-Processing Filter for Binary Image Classification with Small Samplescited by 1
  14. 2023Quantum Machine Learning in Climate Change and Sustainability: a Reviewcited by 1
  15. 2024Quantum Information-Empowered Graph Neural Network for Hyperspectral Change Detectioncited by 1
  16. 2025RhoDARTS: Differentiable Quantum Architecture Search with Density Matrix Simulationscited by 1
  17. 2025Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learningcited by 1
  18. 2025Multi-channel convolutional neural quantum embeddingcited by 1
  19. 2025Quantum feature-map learning with reduced resource overheadcited by 1
  20. 2026QUPID: A Partitioned Quantum Neural Network for Anomaly Detection in Smart Gridcited by 1
  21. 2026Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learningcited by 1
  22. 2026Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Studycited by 1
  23. 2024Hybrid Classical-Quantum architecture for vectorised image classification of hand-written sketchescited by 0
  24. 2024Integrated Encoding and Quantization to Enhance Quanvolutional Neural Networkscited by 0
  25. 2024Computable Model-Independent Bounds for Adversarial Quantum Machine Learningcited by 0
  26. 2025Quantum Down Sampling Filter for Variational Auto-encodercited by 0
  27. 2025Compton Form Factor Extraction using Quantum Deep Neural Networkscited by 0
  28. 2025Optimal normalization in quantum-classical hybrid models for anti-cancer drug response predictioncited by 0
  29. 2025Exoplanetary atmospheres retrieval via a quantum extreme learning machinecited by 0
  30. 2025Hybrid Quantum Neural Networks for Efficient Protein-Ligand Binding Affinity Predictioncited by 0
  31. 2025Black-Box Auditing of Quantum Model: Lifted Differential Privacy with Quantum Canariescited by 0
  32. 2026Layer-wise QUBO-Based Training of CNN Classifiers for Quantum Annealingcited by 0
  33. 2026Layered Quantum Architecture Search for 3D Point Cloud Classificationcited by 0
  34. 2026Shot-based quantum encoding: a data-loading paradigm for quantum neural networkscited by 0
  35. 2026Magnitude Is All You Need? Rethinking Phase in Quantum Encoding of Complex SAR Datacited by 0
  36. 2026Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddingscited by 0
  37. 2026Quantum Feature Pyramid Gating for Seismic Image Segmentationcited by 0
  38. 2026Enhancing Blood Cells Classification using Hybrid Quantum Neural Networkscited by 0

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