Quantum Convolutional Neural Networks

Also known as QCNN

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Overview

Quantum convolutional neural networks adapt the local filters and pooling of classical CNNs to quantum circuits, encoding data into qubits and learning with parameterized quantum gates. Common approaches include hybrid quantum-classical models, circuit-based convolution and pooling, and symmetry-aware layers; they are studied for image and time-series classification as well as scientific modeling. Current comparisons show that QCNNs can match classical models with fewer parameters in some settings, but classical models often achieve higher accuracy or run faster. Trainability, noise, hardware scale, and fair resource-matched benchmarks remain central challenges.

Latest papers

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16 papers1 paper in the last four weeks, with none the four weeks before. 0.0% of all new papers.

  1. Quantum Versus Classical Machine Learning for Neuropsychiatric Disorders: A Feature-Matched Multi-Cohort Evaluation

    Oct 15, 2026Utsav Poudel, Anuj Nepal, Vyas Viswanath +1Quantum Machine LearningClassification

    School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu 632014, India · Universal Higher Education, Melbourne, Australia

  2. Comparing Classical and Quantum Machine Learning for Regression in High Energy Physics Collision Data

    Aug 28, 2026Tariq Mahmood, Zain ul Abidin, Itzel Luviano Soto +1Quantum Machine LearningQuantum Neural Networks

    Centre for High Energy Physics, University of the Punjab, Lahore, Pakistan. · Facultad de Ingenier´ıa Civil, Universidad Michoacana de San Nicol´as de Hidalgo, Morelia, Michoac´an, M´exico · Facultad de Ingenier´ıa El´ectrica, Universidad Michoacana de San Nicol´as de Hidalgo, Morelia, Michoac´an, M´exico +1

  3. Classical and Hybrid Quantum Machine Learning for Trigger-Like Event Selection on CMS Open Data: An Eight-Qubit, PCA-Constrained Benchmark

    Aug 26, 2026Tariq Mahmood, Muhammad Awais Rafique, Talab Hussain +3Hybrid Quantum-Classical MLHigh-Energy Physics

    Centre for High Energy Physics, University of the Punjab, Lahore, Pakistan. · Facultad de Ciencias Físico-Matemáticas, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán, Mexico. · Facultad de Ingeniería Eléctrica, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán, Mexico.

  4. Volcanic Clouds Detection through QCNN and Geostationary Satellite Multispectral Imagery

    Jul 29, 2026Federica Torrisi, Claudia Corradino, Alessandro Grilli +5Remote Sensing Image UnderstandingQuantum Convolutional Neural Networks

    Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Osservatorio Etneo · Thales Alenia Space Italia · Dipartimento di Fisica e Astronomia “Ettore Majorana,” Universit`a di Catania, Catania, Italy +2

  5. Do emulated quantum circuits change what CNNs look at? Performance and explainability comparison in medical image classification

    Jul 23, 2026Guillermo Rubiños Rodríguez, Martín Ottavianelli, Mateo Alonso +4Quantum Convolutional Neural NetworksQuantum-Inspired ML

    Instituto Tecnol´ogico de Galicia, Cant´on Grande 9, Planta 3, 15003 A Coru˜na, Spain · Centro Singular de Investigaci´on en Tecnolox´ıas Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, 15782, Spain · Department of Neuroradiology, LMU University Hospital, Ludwig Maximilian University of Munich, Marchioninistraße 15, 81377 Munich, Germany +1

  6. A Novel Parallel QCNN Architecture with Efficient Classical Simulability

    Jul 9, 2026Lawrence Nguyen, Hiu Yung WongQuantum Convolutional Neural NetworksQuantum Circuit Simulation

    Department of Electrical Engineering San Jos´e State University San Jos´e, USA

  7. QCNN with Rough Path Signature Kernels

    Jul 8, 2026Leonardo Nogueira Falabella, Vasily SazonovTime Series ClassificationQuantum Convolutional Neural Networks

    Université Paris-Saclay, CEA, List, F-91120, Palaiseau, France

  8. Low-Overhead Error-Corrected QCNNs Using Bivariate Bicycle Codes

    Jul 7, 2026Alejandro Rosales, Animesh YadavQuantum Convolutional Neural NetworksQuantum Error Correction

    School of Electrical Engineering and Computer Science Ohio University, Athens, OH, USA

  9. Quantum Convolutional Neural Networks for Groundwater Heat Plume Prediction: A Surrogate Modeling Approach

    Jun 22, 2026Danyal Maheshwari, Julia Pelzer, Miriam SchulteNeural Surrogate ModelingQuantum Convolutional Neural Networks

    Simulation of Large Systems, Institute for Parallel and Distributed Systems (IPVS),, University of Stuttgart, Stuttgart, Germany

  10. Quantum Machine Learning for Industrial Applications

    Jun 12, 2026Léo MonbroussouQuantum Convolutional Neural NetworksQuantum Machine Learning

    Sorbonne Université, Ecole Doctorale Informatique, Télécommunications et Electronique (n° 572), Computer Science

  11. Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study

    May 27, 2026Sudip Vhaduri, Ryan Gammon, Sayanton DibboQuantum Convolutional Neural NetworksQuantum Machine Learning

    Department of Computer Science, University of Alabama, AL 35487 · Clemson University

  12. A Specialized Importance-Aware Quantum Convolutional Neural Network with Ring-Topology (IA-QCNN) for MGMT Promoter Methylation Prediction in Glioblastoma

    Apr 24, 2026Emine Akpinar, Murat OduncuogluQuantum Convolutional Neural NetworksHybrid Quantum-Classical ML

    Department of Physics, Yildiz Technical University, Istanbul, Turkey

  13. Pixel-Translation-Equivariant Quantum Convolutional Neural Networks via Fourier Multiplexers

    Apr 7, 2026Dmitry Chirkov, Igor LobanovQuantum Convolutional Neural NetworksEquivariant Neural Networks

    School of Physics and Engineering, ITMO University, St. Petersburg, Russia

  14. Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks

    Mar 25, 2026Jucai Zhai, Muhammad Abdullah, Boyang Chen +6Neural PDE SolversPDE Solving

    Resource Geophysics Academy, Imperial College London, London, SW7 2AZ UK · Applied Modelling and Computation Group, Department of Earth Science and Engineering, Imperial College London, London, SW7 2AZ UK · Quantum AI Leadership (QUAIL) Ltd, London, WC2H 9JQ UK +2

  15. Beyond Barren Plateaus: A Scalable Quantum Convolutional Architecture for High-Fidelity Image Classification

    Mar 11, 2026Radhakrishnan DelhibabuQuantum Convolutional Neural NetworksQuantum Circuit Trainability

    School of Computing Science and Engineering (SCOPE), Vellore Institute of Technology, Vellore, 632014, India.

  16. Hybrid Quantum Temporal Convolutional Networks

    Feb 27, 2026Junghoon Justin Park, Maria Pak, Sebin Lee +4Quantum Machine LearningHybrid Quantum-Classical ML

    Seoul National University Seoul, Korea · Wells Fargo New York, USA · Brookhaven National Laboratory New York, USA