Quantum Machine Learning & Quantum AI

(Members)

• Prof. Joongheon Kim, Primary Advisor

• Researchers
  Hyunsoo Lee (Ph.D. Candidate), for quantum federated learning
  Seok Bin Son (Ph.D. Candidate), for quantum federated learning and quantum neural architecture search
  Gyu Seon Kim (Ph.D. Student), for quantum reinforcement learning
  Jaehyun Chung (Ph.D. Student), for quantum reinforcement learning and quantum federated learning
  Emily Jimin Roh (Ph.D. Student), for quantum generative models and quantum CNN
  Seungcheol Oh (Ph.D. Student), for theoretical analysis in parameterized quantum circuits
  Yeryeong Cho (M.S. Student), for quantum reinforcement learning
  Chaemoon Im (M.S. Student), for quantum teleportation and quantum federated learning
  Hyojun Ahn (M.S. Student), for quantum neural architecture search and quantum reinforcement learning

• International Collaborators
  Dr. Samuel Yen-Chi Chen (Wells Fargo, USA), for quantum machine learning and quantum federated learning
  Dr. Shaukat Ali (Simula Research Laboratory, Norway), for quantum software engineering
  Prof. Zhu Han (University of Houston, Texas, USA), for quantum reinforcement learning
  Prof. Trung Q. Duong (Memorial University of Newfoundland, Canada), for quantum reinforcement learning
  Prof. Mehdi Bennis (University of Oulu, Finland), for quantum federated learning
  Prof. Jihong Park (Singapore University of Technology and Design, Singapore), for quantum federated learning

• Korean Regional Collaborators
  Prof. Soohyun Park (Sookmyung Women's University, Seoul, Korea), for QNN software engineering and quantum reinforcement learning
  Prof. Soyi Jung (Ajou University, Suwon, Korea), for mobility control using quantum reinforcement learning
  Prof. Youn Kyu Lee (Chung-Ang University, Seoul, Korea), for software engineering methodologies in quantum neural networks
  Prof. Sungwoo Park (Korea University, Seoul, Korea), for theoretical analysis in parameterized quantum circuits
  Prof. Changhee Lee (Korea University, Seoul, Korea), for quantum generative models

(Publications, Magazines and Journals)

• Quantum Theory and Algorithms

  1. Fast Batch Gradient Descent in Quantum Neural Networks
     IET Electronics Letters, 61(1):e70162, January 2025. J. Shim, J. Kim

• Quantum Convolutional Neural Networks

  1. Quantum-Eyes: Scalable Quantum Convolutional Neural Networks for Low-Overhead Object Detection
     IEEE Computational Intelligence Magazine, 20(3):63-74, August 2025. J. Kim, E. J. Roh, C. Im, S. Park

  2. Stabilized Classification Control using Multi-Stage Quantum Convolutional Neural Networks for Autonomous Driving
     IEEE/KICS Journal of Communications and Networks, 27(4):ppp-ppp, August 2025. E. J. Roh, S. Park, S. Jung, J. Kim

  3. Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications
     IEEE Transactions on Mobile Computing, 24(2):1031-1042, February 2025. E. J. Roh, H. Baek, D. Kim, J. Kim

  4. Hybrid Quantum-Classical 3D Object Detection using Multi-Channel Quantum Convolutional Neural Network
     The Journal of Supercomputing (Springer), 81(3):455, February 2025. E. J. Roh, J. Y. Shim, J. Kim, S. Park

  5. Stereoscopic Scalable Quantum Convolutional Neural Networks
     Neural Networks (Elsevier), 165:860-867, August 2023. H. Baek, W. J. Yun, S. Park, J. Kim

• Quantum AI for Multimedia Systems

  1. Quantum Jump to Virtual Worlds: High-Quality Multiple Virtual Meta-Space Realization in Metaverse
     IEEE MultiMedia, 32(2):ppp-ppp, April-June 2025. S. Park, J. Kim

  2. The Matrix: Quantum AI for Interacting Two Worlds in Prioritized Metaverse Spaces
     IEEE Communications Magazine, 62(12):97-103, December 2024. S. Park, H. Baek, J. Kim

  3. Spatio-Temporal Multi-Metaverse Dynamic Streaming for Hybrid Quantum-Classical Systems
     IEEE/ACM Transactions on Networking, 32(6):5279-5294, December 2024. S. Park, H. Baek, J. Kim

  4. Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse
     IEEE Transactions on Mobile Computing, 23(12):12410-12427, December 2024. S. Park, J. Chung, C. Park, S. Jung, M. Choi, S. Cho, J.  Kim

  5. Quantum Reinforcement Learning for Spatio-Temporal Prioritization in Metaverse
     IEEE Access, 12:54732-54744, April 2024. S. Park, H. Baek, J. Kim

• Quantum Reinforcement Learning for Autonomous Control

  1. Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks
     IEEE Transactions on Mobile Computing, v(n):ppp-ppp, Month Year. G. S. Kim, Y. Cho, J. Chung, S. Park, S. Jung, Z. Han, J. Kim

  2. Quantum Multiagent Reinforcement Learning for Joint Cube-Satellites and High-Altitude Long-Endurance Aerial Vehicles in SAGIN
     IEEE Transactions on Aerospace and Electronic Systems, 61(4):9490-9510, August 2025. G. S. Kim, Y. Cho, S. Park, S. Jung, J. Kim

  3. Quantum Reinforcement Learning for Lightweight LEO Satellite Routing
     IEEE Internet of Things Journal, 12(14):28986-29004, July 2025. G. S. Kim, S. Lee, I.-S. Cho, S. Park, J. Kim

  4. Joint Quantum Reinforcement Learning and Neural Myerson Auction for High-Quality Digital-Twin Services in Multitier Networks
     IEEE Internet of Things Journal, 12(13):23722-23735, July 2025. S. Park, G. S. Kim, J. Kim

  5. Quantum Multi-Agent Reinforcement Learning is All You Need: Coordinated Global Access in Integrated TN/NTN Cube-Satellite Networks
     IEEE Communications Magazine, 62(10):86-92, October 2024. S. Park, G. S. Kim, Z. Han, J. Kim

  6. Trends in Quantum Reinforcement Learning: State-of-the-Arts and the Road Ahead
     ETRI Journal (Wiley), 46(5):748-758, October 2024. S. Park, J. Kim
     (Invited Article: Special Issue on Next-Gen AI and Quantum Technology)

  7. Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation
     IEEE Communications Magazine, 62(6):106-112, June 2024. S. Park, J. P. Kim, C. Park, S. Jung, J. Kim

  8. Quantum Multiagent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems
     IEEE Internet of Things Journal, 10(22):20033-20048, November 2023. C. Park, W. J. Yun, J. P. Kim, T. K. Rodrigues, S. Park, S. Jung, J. Kim

  9. Quantum Multiagent Actor-Critic Neural Networks for Internet-Connected Multirobot Coordination in Smart Factory Management
     IEEE Internet of Things Journal, 10(11):9942-9952, June 2023. W. J. Yun, J. P. Kim, S. Jung, J.-H. Kim, J. Kim

• Quantum Distributed Learning (Federated Learning and Split Learning)

  1. Quantum Infidelity Codistillation for Fast and Accurate Distributed Quantum Machine Learning
     The Journal of Supercomputing (Springer), 81(n):1151, July 2025. S. Oh, J. Kim, J. Park, H. Baek, H. Lee, J. Kim, S.-L. Kim

  2. Adaptive Quantum Federated Learning for Autonomous Surveillance Multi-Drone Networks
     IEEE Transactions on Intelligent Vehicles, v(n):ppp-ppp, Month Year. S. Park, C. Park, S. Jung, J. Kim

  3. Quantum Federated Learning with Pole-Angle Quantum Local Training and Trainable Measurement
     Neural Networks (Elsevier), 187:107301, July 2025. S. Park, H. Lee, S. B. Son, S. Jung, J. Kim

  4. Entanglement-Controlled Quantum Federated Learning
     IEEE Internet of Things Journal, 12(11):18318-18330, June 2025. S. Park, H. Lee, S. Jung, J. Park, M. Bennis, J. Kim

  5. Dynamic Quantum Federated Learning for UAV-based Autonomous Surveillance
     IEEE Transactions on Vehicular Technology, 74(5):8158-8170, May 2025. S. Park, S. B. Son, S. Jung, J. Kim

  6. Dynamic Quantum Federated Learning for Satellite-Ground Integrated Systems using Slimmable Quantum Neural Networks
     IEEE Access (IEEE Vehicular Technology Society Section), 12:58239-58247, April 2024. S. Park, S. Jung, J. Kim

  7. Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications
     ICT Express (Elsevier), 9(3):486-491, June 2023. Y. Kwak, W. J. Yun, J.  P. Kim, H. Cho, J. Park, M. Choi, S. Jung, J. Kim

• Quantum Software Engineering

  1. SQUAD: Software Testing for Quantum Distributed Learning Software
     The Journal of Supercomputing (Springer), 81(9):1071, June 2025. S. Park, J. H. Cho, H. J. Yook, G. S. Jhun, Y. K. Lee, J. Kim

  2. AQUA: Analytics-driven Quantum Neural Network (QNN) User Assistance for Software Validation
     Future Generation Computer Systems (Elsevier), 159:545-556, October 2024. S. Park, H. Baek, J. W. Yoon, Y. K. Lee, J. Kim

  3. EQuaTE: Efficient Quantum Train Engine for Run-Time Dynamic Analysis and Visual Feedback in Autonomous Driving
     IEEE Internet Computing, 27(5):24-31, September-October 2023. S. Park, H. Feng, C. Park, Y. K. Lee, S. Jung, J. Kim

• Others

  1. Special Issue on Quantum Technologies for Communication Systems
     IEEE/KICS Journal of Communications and Networks, 27(4):ppp-ppp, August 2025. S. Y. Shin, Z. Han, S. Ali, S. Y.-C. Chen, Y. Liu, S. Park, J. Kim

(Publications, Conference Proceedings)

• Top-Tier Conferences

  1. (Under Review) (Double Blind Review)
     IEEE ICDCS (2026) E. J. Roh, C. Im, H. Baek, S. Park, J. Kim

  2. (Under Review) (Double Blind Review)
     AAAI (2026) S. Oh, C. Im, S. Park, J. Kim

  3. Quantum-Amplitude Embedded Adaptation for Parameter-Efficient Fine-Tuning in Large Language Models
     ACM CIKM (2025) E. J. Roh, J. Kim

  4. Filtered One-Shot Training for Quantum Architecture Search
     ACM CIKM (2025) S. B. Son, S. Y.-C. Chen, J. Kim, S. Park

  5. AQUA: Hardware-Agnostic Qubit Allocation for Quantum Multi-Programming
     IEEE IPDPS (2025) X. Piao, J. Shim, J. Kim, J.-K. Kim

  6. Stabilized Robust Control for Lightweight Autonomous Aircraft Mobility: A Quantum Reinforcement Learning Approach
     IEEE/IFIP WiOpt (2025) G. S. Kim, J. Chung, T. Q. Duong, S. Park, J. Kim

  7. Hands-On Introduction to Quantum Machine Learning
     ACM CIKM (2024) S. Y.-C. Chen, J. Kim

  8. Logarithmic Dimension Reduction for Quantum Neural Networks
     ACM CIKM (2023) H. Baek, S. Park, J. Kim

  9. Quantum Split Learning for Privacy-Preserving Information Management
     ACM CIKM (2023) S. Park, H. Baek, J. Kim

  10. Quantum Multi-Agent Meta Reinforcement Learning
      AAAI (2023) W. J. Yun, J. Park, J. Kim

• Conferences

  1. (Under Review) Improving the Performance of Large Language Models: A Quantum Deep Learning Approach
     IEEE ICASSP (2026) E. J .Roh, H. Ahn, J. Kim

  2. (Under Review) Distributed Quantum Differential Privacy
     AAAI Student Abstract and Poster (2026) C. Im, S. Park, J. Kim

  3. Quantum Differential Privacy in Quantum Federated Learning
     QTML (2025) C. Im, J. Kim

  4. Qubit Trajectory Analysis in Quantum Neural Networks
     QTML (2025) S. Oh, C. Im, J. Kim

  5. Quantum-Amplitude Embedded Adaptation for Parameter-Efficient Fine-Tuning in LLMs
     Purdue Quantum AI (PQAI) Symposium (2025) E. J. Roh, J. Kim

  6. Quantum Reinforcement Learning for Coordinated Satellite Systems
     Purdue Quantum AI (PQAI) Symposium (2025) G. S. Kim, S. Chen, S. Park, J. Kim

  7. Understanding the Qubit Trajectory in Parameterized Quantum Circuits
     Purdue Quantum AI (PQAI) Symposium (2025) S. Oh, C. Im, S. Park, J. Kim

  8. Quantum Circuit Structure Optimization for Quantum Reinforcement Learning
     IEEE Quantum Week (QCE) Workshop on Quantum Computing and Reinforcement Learning (2025) S. B. Son, J. Kim

  9. Scalable Energy-Aware Semantic Caching and Routing for Smart City IoV Fleets: A Distributed Quantum Soft Actor-Critic Framework
     IEEE SPAWC (2025) J. A. Ansere, S. L. Cotton, J. Kim, T. Q. Duong

  10. Quantum Reinforcement Learning for Coordinated Satellite Systems
      IEEE ICASSP (2025) G. S. Kim, S. Y.-C. Chen, S. Park, J. Kim

  11. Hybrid Quantum-Classical Style Transfer
      AAAI Student Abstract and Poster (2025) E.J. Roh, J.Y. Shim, S. Park, J. Kim

  12. Quantum Reinforcement Learning: An Overview
      IEEE ICTC AI Special Session (2024) G. S. Kim, S. Park, J. Kim

  13. Introduction to Heterogeneous Knowledge Transfer for Quantum Convolutional Neural Networks
      IEEE ICTC AI Special Session (2024) E. J. Roh, K.Lee, J. Kim

  14. Quantum Teleportation: A Premier Quantum Communication Protocol
      IEEE ICTC AI Special Session (2024) C. Im, S. Park, J. Kim

  15. Introduction to Quantum Multi-Agent Reinforcement Learning: Concepts and Applications
      IEEE ICTC AI Special Session (2024) Y. Cho, S. B. Son, S. Park, J. Kim

  16. Quantum Reinforcement Learning: Concepts, Models, and Applications
      ICIT (2024) J. Kim

  17. Diffusion-based Quantum Error Mitigation using Stochastic Differential Equation
      IEEE VTS APWCS (2024) J. Y. Shim, J. Kim

  18. Quantum Multi-Agent Reinforcement Learning Software Design and Visual Simulations for Multi-Drone Mobility Control
      IEEE VTS APWCS (2024) S. Park, G. S. Kim, S. Jung, J. Kim

  19. Multi-Channel Quantum Convolutional Neural Network
      IJCAI Workshop on Quantum Algorithms, Optimization, and AI (2024) E. J. Roh, J. Y. Shim, S. Park, J. Kim

  20. Quantum Style Transfer in Hybrid Quantum-Classical Computing
      IJCAI Workshop on Quantum Algorithms, Optimization, and AI (2024) E. J. Roh, J. Y. Shim, S. Park, J. Kim

  21. Quantum Error Mitigation in Open Systems using Diffusion Models: Stochastic Differential Equation and Shrodinger Bridge Approaches
      IJCAI Workshop on Quantum Algorithms, Optimization, and AI (2024) J. Y. Shim, J. Kim

  22. Realizing Cooperative Global Internet Services for Space-Air-Ground Integrated Networks: A Quantum Multi-Agent Reinforcement Learning Framework
      IJCAI Workshop on Quantum Algorithms, Optimization, and AI (2024) G. S. Kim, Y. Cho, S. Park, S. Jung, J. Kim

  23. Depth-Controllable Quantum Federated Learning
      IJCAI Workshop on Quantum Algorithms, Optimization, and AI (2024) S. Park, H. Baek, J. Park, M. Bennis, S. Jung, J. Kim

  24. Shifting from Knowledge to Infidelity Distillation for Fast and Accurate Distributed Quantum Machine Learning
      IJCAI Workshop on Quantum Algorithms, Optimization, and AI (2024) J. Kim, S. Oh, J. Park, H. Baek, H. Lee, J. Kim, S.-L. Kim

  25. Quantum Federated Learning for Vehicular Computing Scenarios
      IEEE ICTC (2023) J. Kim

  26. Quantum Reinforcement Learning for Large-Scale Multi-Agent Decision-Making in Autonomous Aerial Networks
      IEEE VTS APWCS (2023) S. Park, J. Kim
      (IEEE VTS Seoul Chapter Award)

  27. Demo: EQuaTE: Efficient Quantum Train Engine Design and Demonstration for Dynamic Software Analysis
      IEEE ICDCS Demo (2023) S. Park, H. Feng, W. J. Yun, C. Park, Y. K. Lee, S. Jung, J. Kim

  28. 3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications
      AAAI Workshop on AI to Accelerate Science and Engineering (2023) H. Baek, W. J. Yun, J. Kim

  29. FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features
      AAAI Student Abstract and Poster (2023) H. Baek, W. J. Yun, J. Kim
      (Finalist (Top 25), Oral Presentation Contest)

  30. Modern Trends in Quantum AI: Distributed and High-Definition Computation
      IEEE ICOIN (2023) J. P. Kim, W. J. Yun, H. Baek, J. Kim

  31. Slimmable Quantum Federated Learning
      ICML Workshop on Dynamic Neural Networks (2022) W. J. Yun, J. P. Kim, S. Jung, J. Park, M. Bennis, J. Kim
      (Spotlight, Oral Presentation)

  32. Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design
      IEEE ICDCS Demo (2022) W. J. Yun, Y. Kwak, J. P. Kim, H. Cho, S. Jung, J. Park, J. Kim

  33. Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation
      IEEE ICTC (2021) Y. Kwak, W. J. Yun, S. Jung, J.-K. Kim, J. Kim

  34. Quantum Scheduling for Millimeter-Wave Observation Satellite Constellation
      IEEE VTS APWCS (2021) J. Kim, Y. Kwak, S. Jung, J.-H. Kim
      (IEEE VTS Seoul Chapter Award)

  35. Quantum Neural Networks: Concepts, Applications, and Challenges
      IEEE ICUFN (2021) Y. Kwak, W. J. Yun, S. Jung, J. Kim

  36. Quantum Convolutional Neural Network for Resource-Efficient Image Classification: A Quantum Random Access Memory (QRAM) Approach
      IEEE ICOIN (2021) S. Oh, J. Choi, J.-K. Kim, J. Kim

  37. A Tutorial on Quantum Graph Recurrent Neural Network (QGRNN)
      IEEE ICOIN (2021) J. Choi, S. Oh, J. Kim

  38. A Quantum Approach to the Minimum Dominating Set Problem
      QTML (2020) J. Choi, S. Oh, S. Park, J. Kim

  39. A Tutorial on Quantum Convolutional Neural Networks (QCNN)
      IEEE ICTC (2020) S. Oh, J. Choi, J. Kim

  40. The Useful Quantum Computing Techniques for Artificial Intelligence Engineers
      IEEE ICOIN (2020) J. Choi, S. Oh, J. Kim

  41. A Quantum Approach to Max-Weight Independent Set Problem
      QTML (2019) J. Choi, J. Kim

  42. A Tutorial on Quantum Approximate Optimization Algorithm (QAOA): Fundamentals and Applications
      IEEE ICTC (2019) J. Choi, J. Kim

• Patents (Granted)

  1. Network Scheduling Apparatus and Method using Quantum Approximation
     KR Patent 102340895 (2021-12-14) J. Kim, J. Choi, S. Oh

(Academic Services)

• Journal Special Issues (Guest Editorials)

  • Quantum Technologies for Communication Systems (2025)
    IEEE/KICS Journal of Communications and Networks [Link]

  • Advances in Quantum Networks: Enabling Computing, Security, and AI Innovations (2025)
    Discover Networks (Springer) [Link]

  • Quantum Algorithms, Optimization, and A.I. (2025)
    The Journal of Supercomputing (Springer) [Link]

• Organizing Committee Contributions for International Conferences, Symposiums, and Workshops

  • Workshop on Quantum Machine Learning in Signal Processing and Artificial Intelligence (2026)
    IEEE ICASSP 2026 (Barcelona, Spain, 04/2026) [Link]

  • Workshop on Quantum Machine Learning (2026)
    IEEE ICOIN 2026 (Hanoi, Vietnam, 01/2026) [Link]

  • Workshop on Quantum Computing for Communications and Learning (2025)
    IEEE GLOBECOM 2025 (Taipei, Taiwan, 12/2025) [Link]

  • Workshop on Quantum Computing and Reinforcement Learning (2025)
    IEEE Quantum Week (QCE) 2025 (Albuquerque, New Maxico, USA, 09/2025) [Link]

  • Workshop on Quantum Machine Learning in Signal Processing and Artificial Intelligence (2025)
    IEEE ICASSP 2025 (Hyderabad, India, 04/2025) [Link]

  • Workshop on Quantum Computing and Reinforcement Learning (2024)
    IEEE Quantum Week (QCE) 2024 (Montreal, Quebec, Canada, 09/2024) [Link]

  • Workshop on Quantum Algorithms, Optimization, and Artificial Intelligence (2024)
    IJCAI 2024 (Jeju, Korea, 08/2024) [Link]

• Program Committee Contributions for International Conferences, Symposiums, and Workshops

  • (TBD) Workshop on Quantum Machine Learning (2026)
    IEEE ICOIN 2026 (Hanoi, Vietnam, 01/2026) [Link]

  • Workshop on Quantum Computing for Communications and Learning (2025)
    IEEE GLOBECOM 2025 (Taipei, Taiwan, 12/2025) [Link]

  • Workshop on Quantum Data and Machine Learning: Systems, Theory and Hardware (2025)
    IEEE ICDE 2025 (Hong Kong ,China, 05/2025) [Link]

  • Workshop on Quantum Computing and Artificial Intelligence (2024)
    AAAI 2024 (Philadelphia, Pennsylvania, USA, 02/2024) [Link]

• International Tutorials and Speeches

  • (TBD) Quantum Reinforcement Learning: From Foundations to Emerging Applications
    IEEE ICOIN Workshop on Quantum Machine Learning 2026 Tutorial (Hanoi, Vietnam, 01/2026)

  • Quantum-Enhanced Learning for Future Communication Networks
    IEEE GLOBECOM 2025 Tutorial (Taipei, Taiwan, 12/2025)

  • Quantum Reinforcement Learning: From Foundations to Emerging Applications
    IEEE QAI 2025 Tutorial (Naples, Italy, 11/2025)

  • Hands-On Introduction to Quantum Machine Learning
    IEEE QCE 2025 Tutorial (Albuquerque, New Maxico, USA, 09/2025)

  • Quantum Reinforcement Learning for Computer Networks and Autonomous Mobility: Modern Trends and Future Directions
    IEEE VTS APWCS  2025 Invited Speech (Tokyo, Japan, 08/2025)

  • Quantum Reinforcement Learning: Algorithms and Applications
    IEEE Future Networks Webinar (Future Networks AI/ML and QIT Working Groups) (Webinar, 08/2025)

  • Introduction to Quantum Machine Intelligence
    IEEE SSCI 2025 Tutorial (Trondheim, Norway, 03/2025)

  • Hands-On Introduction to Quantum Machine Learning
    ACM CIKM 2024 Tutorial (Boise, Idaho, USA, 10/2024)

  • Quantum Reinforcement Learning: Concepts, Models, and Applications
    ICIT 2024 Keynote Speech (Danang, Vietnam, 09/2024)

  • A Paradigm Shift in Future Networks with Quantum Deep Learning
    IEEE ICUFN 2022 Tutorial (Barcelona, Spain, 07/2022)

• Korean Regional/Local Tutorials (Selected)

  • Quantum Machine Learning
    2023 KICS Summer Conference Tutorial (Jeju, Korea, 06/2023)

  • Quantum Machine Learning
    2023 KIISE Summer Conference Tutorial (Jeju, Korea, 06/2023)

  • Quantum Deep Learning Basics
    2022 KIPS Fall Conference Tutorial (Chuncheon, Korea, 11/2022)

  • Quantum Multi-Agent Deep Reinforcement Learning
    2022 KICS Summer Conference Tutorial (Jeju, Korea, 06/2022)