mlsanityData to 14 Oct 2026

Quantum Artificial Intelligence: A Brief Survey

arXiv 2408.10726 ↗First posted 20 Aug 2024quant-ph cs.AIcited by 3

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Abstract (arXiv)

Quantum Artificial Intelligence (QAI) is the intersection of quantum computing and AI, a technological synergy with expected significant benefits for both. In this paper, we provide a brief overview of what has been achieved in QAI so far and point to some open questions for future research. In particular, we summarize some major key findings on the feasability and the potential of using quantum computing for solving computationally hard problems in various subfields of AI, and vice versa, the leveraging of AI methods for building and operating quantum computing devices.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 55 of its 205 references that are in the map. First posted on arXiv 20 Aug 2024.

Builds on

55 of 205 references.

References · 55

  1. 2017Inductive Representation Learning on Large Graphscited by 6,320
  2. 2016Quantum Machine Learningcited by 326
  3. 2018q-means: A quantum algorithm for unsupervised machine learningcited by 55
  4. 2022A Survey on Quantum Reinforcement Learningcited by 53
  5. 2020Foundations for Near-Term Quantum Natural Language Processingcited by 51
  6. 2022Quantum Vision Transformerscited by 48
  7. 2017Active learning machine learns to create new quantum experimentscited by 41
  8. 2016Quantum Algorithms for Compositional Natural Language Processingcited by 24
  9. 2020Machine learning enables completely automatic tuning of a quantum device faster than human expertscited by 23
  10. 2024Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learningcited by 22
  11. 2016Reinforcement Learning Using Quantum Boltzmann Machinescited by 20
  12. 2021Adiabatic Quantum Graph Matching with Permutation Matrix Constraintscited by 20
38 more
  1. 2023Machine Learning for Practical Quantum Error Mitigationcited by 20
  2. 2020Quantum-soft QUBO Suppression for Accurate Object Detectioncited by 19
  3. 2018HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertaintycited by 18
  4. 2023Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learningcited by 17
  5. 2023Quantum algorithms applied to satellite mission planning for Earth observationcited by 17
  6. 2022Quantum Motion Segmentationcited by 16
  7. 2021Graph neural network initialisation of quantum approximate optimisationcited by 13
  8. 2019Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problemscited by 11
  9. 2022Compiler Optimization for Quantum Computing Using Reinforcement Learningcited by 11
  10. 2023Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentationcited by 11
  11. 2019Machine learning for long-distance quantum communicationcited by 10
  12. 2024Hybrid Quantum Vision Transformers for Event Classification in High Energy Physicscited by 10
  13. 2022LEADER: Learning Attention over Driving Behaviors for Planning under Uncertaintycited by 9
  14. 2022eXplainable AI for Quantum Machine Learningcited by 9
  15. 2019Quantum Speedup for Graph Sparsification, Cut Approximation and Laplacian Solvingcited by 8
  16. 2022GCS-Q: Quantum Graph Coalition Structure Generationcited by 8
  17. 2023Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Managementcited by 8
  18. 2023Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Carscited by 8
  19. 2024eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channelscited by 8
  20. 2022BILP-Q: Quantum Coalition Structure Generationcited by 7
  21. 2023Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperationcited by 6
  22. 2023Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approachcited by 6
  23. 2024Quantum Natural Language Processingcited by 6
  24. 2024Qubit-efficient Variational Quantum Algorithms for Image Segmentationcited by 6
  25. 2019Quantum Annealing of Vehicle Routing Problem with Time, State and Capacitycited by 5
  26. 2023Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experimentscited by 5
  27. 2023Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimizationcited by 5
  28. 2020Accelerating Quantum Approximate Optimization Algorithm using Machine Learningcited by 4
  29. 2020On Effective Parallelization of Monte Carlo Tree Searchcited by 4
  30. 2022Deep reinforcement learning for quantum multiparameter estimationcited by 4
  31. 2023Quantum Splines for Non-Linear Approximationscited by 4
  32. 2023QuACS: Variational Quantum Algorithm for Coalition Structure Generation in Induced Subgraph Gamescited by 4
  33. 2024Model-based Offline Quantum Reinforcement Learningcited by 4
  34. 2024Quantum Computing in Intelligent Transportation Systems: A Surveycited by 4
  35. 2022Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Drivingcited by 3
  36. 2023MAQA: A Quantum Framework for Supervised Learningcited by 3
  37. 2024Quantum Supervised Learningcited by 3
  38. 2017Quantum Spectral Clustering through a Biased Phase Estimation Algorithmcited by 2

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Cited by year

Citing papers per year: 2025: 3.

3 papers.

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