mlsanityData to 7 Oct 2026

Scalable Quantum Convolutional Neural Networks

arXiv 2209.12372 ↗First posted 26 Sep 2022quant-ph cs.AIcited by 5

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Abstract (arXiv)

With the beginning of the noisy intermediate-scale quantum (NISQ) era, quantum neural network (QNN) has recently emerged as a solution for the problems that classical neural networks cannot solve. Moreover, QCNN is attracting attention as the next generation of QNN because it can process high-dimensional vector input. However, due to the nature of quantum computing, it is difficult for the classical QCNN to extract a sufficient number of features. Motivated by this, we propose a new version of QCNN, named scalable quantum convolutional neural network (sQCNN). In addition, using the fidelity of QC, we propose an sQCNN training algorithm named reverse fidelity training (RF-Train) that maximizes the performance of sQCNN.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 10 of its 21 references that are in the map. First posted on arXiv 26 Sep 2022.

Builds on

10 of 21 references.

References · 10

  1. 2018Barren plateaus in quantum neural network training landscapescited by 624
  2. 2020Power of data in quantum machine learningcited by 336
  3. 2019Parameterized quantum circuits as machine learning modelscited by 330
  4. 2020Absence of Barren Plateaus in Quantum Convolutional Neural Networkscited by 124
  5. 2022Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Designcited by 25
  6. 2022Slimmable Quantum Federated Learningcited by 23
  7. 2022Quantum Multi-Agent Meta Reinforcement Learningcited by 23
  8. 2022Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applicationscited by 12
  9. 2022Dual-Frequency Quantum Phase Estimation Mitigates the Spectral Leakage of Quantum Algorithmscited by 4
  10. 2022Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimizationcited by 3

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Cited by year

Citing papers per year: 2022: 3; 2023: 1; 2024: 1.

5 papers.

  1. 2023Quantum machine learning for image classificationcited by 56
  2. 2024Quantum Convolutional Neural Networks are Effectively Classically Simulablecited by 33
  3. 20223D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applicationscited by 4
  4. 2022Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classificationcited by 4
  5. 2022Quantum Split Neural Network Learning using Cross-Channel Poolingcited by 4