mlsanityData to 7 Oct 2026

On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification

arXiv 2109.09484 ↗First posted 20 Sep 2021eess.IV cs.CV cs.ETcited by 33

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Abstract (arXiv)

This article aims to investigate how circuit-based hybrid Quantum Convolutional Neural Networks (QCNNs) can be successfully employed as image classifiers in the context of remote sensing. The hybrid QCNNs enrich the classical architecture of CNNs by introducing a quantum layer within a standard neural network. The novel QCNN proposed in this work is applied to the Land Use and Land Cover (LULC) classification, chosen as an Earth Observation (EO) use case, and tested on the EuroSAT dataset used as reference benchmark. The results of the multiclass classification prove the effectiveness of the presented approach, by demonstrating that the QCNN performances are higher than the classical counterparts. Moreover, investigation of various quantum circuits shows that the ones exploiting quantum entanglement achieve the best classification scores. This study underlines the potentialities of applying quantum computing to an EO case study and provides the theoretical and experimental background for futures investigations.

Key facts. Cited by 33 papers in the map (data through 7 Oct 2026). Builds on 21 of its 82 references that are in the map. First posted on arXiv 20 Sep 2021.

Builds on

21 of 82 references.

References · 21

  1. 2017EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classificationcited by 1,488
  2. 2017DOTA: A Large-scale Dataset for Object Detection in Aerial Imagescited by 622
  3. 2020The power of quantum neural networkscited by 377
  4. 2020Power of data in quantum machine learningcited by 336
  5. 2019BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understandingcited by 231
  6. 2019Efficient Learning for Deep Quantum Neural Networkscited by 160
  7. 2019Transfer learning in hybrid classical-quantum neural networkscited by 113
  8. 2020Graph Convolutional Networks for Hyperspectral Image Classificationcited by 113
  9. 2018Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networkscited by 108
  10. 2017Quantum machine learning: a classical perspectivecited by 95
  11. 2021Noisy intermediate-scale quantum (NISQ) algorithmscited by 79
  12. 2018Quantum Variational Autoencodercited by 41
9 more
  1. 2020Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Studycited by 28
  2. 2021Towards a Collective Agenda on AI for Earth Science Data Analysiscited by 27
  3. 2016Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networkscited by 25
  4. 2020A hybrid quantum-classical neural network with deep residual learningcited by 13
  5. 2019Deep Discriminative Representation Learning with Attention Map for Scene Classificationcited by 8
  6. 2021Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensingcited by 6
  7. 2020Image Classification via Quantum Machine Learningcited by 3
  8. 2020Land Use and Land Cover Classification using a Human Group based Particle Swarm Optimization Algorithm with a LSTM classifier on hybrid-pre-processing Remote Sensing Imagescited by 2
  9. 2021IGO-QNN: Quantum Neural Network Architecture for Inductive Grover Oracularizationcited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 3; 2023: 9; 2024: 9; 2025: 3; 2026: 9.

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  1. 2024Quantum Convolutional Neural Networks are Effectively Classically Simulablecited by 33
  2. 2022Hybrid quantum ResNet for car classification and its hyperparameter optimizationcited by 17
  3. 2023Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machinescited by 15
  4. 2022Rapid training of quantum recurrent neural networkscited by 13
  5. 2023Forecasting steam mass flow in power plants using the parallel hybrid networkcited by 10
  6. 2023Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Imagescited by 10
  7. 2024From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networkscited by 6
  8. 2023A Single-Step Multiclass SVM based on Quantum Annealing for Remote Sensing Data Classificationcited by 5
  9. 20233D-QAE: Fully Quantum Auto-Encoding of 3D Point Cloudscited by 5
  10. 2023Variational Quantum Neural Networks (VQNNS) in Image Classificationcited by 4
  11. 2023Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detectioncited by 3
  12. 2026HQF-Net: A Hybrid Quantum-Classical Multi-Scale Fusion Network for Remote Sensing Image Segmentationcited by 3
21 more
  1. 2022Beyond Ans"atze: Learning Quantum Circuits as Unitary Operatorscited by 2
  2. 2024Satellite image classification with neural quantum kernelscited by 2
  3. 2024A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum Processorcited by 2
  4. 2025Quantum autoencoders for image classificationcited by 2
  5. 2025Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networkscited by 2
  6. 2026QMC-Net: Data-Aware Quantum Representations for Remote Sensing Image Classificationcited by 2
  7. 2023Quantum Machine Learning in Climate Change and Sustainability: a Reviewcited by 1
  8. 2024On the impact of key design aspects in simulated Hybrid Quantum Neural Networks for Earth Observationcited by 1
  9. 2025Explainable Quantum Machine Learning for Multispectral Images Segmentation: Case Studycited by 1
  10. 2026Quantum Generative Diffusion Model for Real-World Time Seriescited by 1
  11. 2023Quantum Machine Learning for Remote Sensing: Exploring potential and challengescited by 0
  12. 2024Ai4Fapar: How artificial intelligence can help to forecast the seasonal earth observation signalcited by 0
  13. 2024Hybrid Quantum Neural Network Advantage for Radar-Based Drone Detection and Classification in Low Signal-to-Noise Ratiocited by 0
  14. 2024Integrated Encoding and Quantization to Enhance Quanvolutional Neural Networkscited by 0
  15. 2024Leveraging Multi-Temporal Sentinel 1 and 2 Satellite Data for Leaf Area Index Estimation With Deep Learningcited by 0
  16. 2026Tackling Heterogeneity in Quantum Federated Learning: An Integrated Sporadic-Personalized Approachcited by 0
  17. 2026Auto Quantum Machine Learning for Multisource Classificationcited by 0
  18. 2026Parameterized Quantum Circuits as Feature Maps: Representation Quality and Readout Effects in Multispectral Land-Cover Classificationcited by 0
  19. 2026Tensor Network Machine Learning for Wildfire Susceptibility Mapping: from Grokking Dynamics to Quantum Mixedness of Class Representationscited by 0
  20. 2026Hybrid Quantum CNN for Cross-Sensor Spaceborne Volcanic Thermal Activity Recognition Worldwidecited by 0
  21. 2026Volcanic Clouds Detection through QCNN and Geostationary Satellite Multispectral Imagerycited by 0