mlsanityData to 7 Oct 2026

Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications

arXiv 2202.11200 ↗First posted 19 Feb 2022quant-ph cs.ET cs.LGcited by 12

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Abstract (arXiv)

Although deep learning (DL) has already become a state-of-the-art technology for various data processing tasks, data security and computational overload problems often arise due to their high data and computational power dependency. To solve this problem, quantum deep learning (QDL) and distributed deep learning (DDL) has emerged to complement existing DL methods. Furthermore, a quantum distributed deep learning (QDDL) technique that combines and maximizes these advantages is getting attention. This paper compares several model structures for QDDL and discusses their possibilities and limitations to leverage QDDL for some representative application scenarios.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 21 of its 49 references that are in the map. First posted on arXiv 19 Feb 2022.

Builds on

21 of 49 references.

References · 21

  1. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  2. 2016Communication-Efficient Learning of Deep Networks from Decentralized Datacited by 7,592
  3. 2017CARLA: An Open Urban Driving Simulatorcited by 2,431
  4. 2018Barren plateaus in quantum neural network training landscapescited by 624
  5. 2017AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehiclescited by 517
  6. 2018Distributed learning of deep neural network over multiple agentscited by 277
  7. 2019Variational Quantum Circuits for Deep Reinforcement Learningcited by 165
  8. 2021Federated Learning for Open Bankingcited by 138
  9. 2021Federated Quantum Machine Learningcited by 82
  10. 2020Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applicationscited by 62
  11. 2020Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognitioncited by 56
  12. 2021Quantum Federated Learning with Quantum Datacited by 53
9 more
  1. 2021Quantum federated learning through blind quantum computingcited by 44
  2. 2014Quantum Deep Learningcited by 31
  3. 2021QTN-VQC: An End-to-End Learning framework for Quantum Neural Networkscited by 27
  4. 2020Classification with Quantum Machine Learning: A Surveycited by 23
  5. 2021Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementationcited by 23
  6. 2021Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networkscited by 14
  7. 2021Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Datacited by 10
  8. 2020Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platformscited by 6
  9. 2019Variational Quantum Algorithms for Dimensionality Reduction and Classificationcited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 4; 2023: 3; 2024: 3; 2025: 0; 2026: 2.

12 papers.

  1. 2023Towards Quantum Federated Learningcited by 20
  2. 2022Scalable Quantum Convolutional Neural Networkscited by 5
  3. 2023Decentralized Quantum Federated Learning for Metaverse: Analysis, Design and Implementationcited by 5
  4. 2022Quantum Split Neural Network Learning using Cross-Channel Poolingcited by 4
  5. 2022Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Codingcited by 4
  6. 2024Machine Learning Applications of Quantum Computing: A Reviewcited by 4
  7. 2024Distributed and Secure Kernel-Based Quantum Machine Learningcited by 1
  8. 2022Software Simulation and Visualization of Quantum Multi-Drone Reinforcement Learningcited by 0
  9. 2023Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipescited by 0
  10. 2024Classi|Qrangle Towards a Translation Framework To Bridge The Classical-Quantum Programming Gapcited by 0
  11. 2026QFed: Parameter-Compact Quantum-Classical Federated Learningcited by 0
  12. 2026FQPDR: Federated Quantum Neural Network for Privacy-preserving Early Detection of Diabetic Retinopathycited by 0