Quantum AI

(Active Members)

Prof. Joongheon Kim, Primary Advisor
Researchers
- Dr. Joo Yong Shim (Postdoctoral Scholar), for quantum machine learning theory and applications
- Mr. Gyu Seon Kim (Ph.D. Student), for quantum reinforcement learning
Faculty Collaborators
- Prof. Soohyun Park (Sookmyung Women's University, Seoul, Korea), for software engineering and PL methods for quantum neural networks, quantum reinforcement learning
- Prof. Jihong Park (Deakin University, Victoria, Australia), for quantum reinforcement learning
- Prof. Soyi Jung (Ajou University, Suwon, Korea), for mobility control using quantum reinforcement learning
- Prof. Youn Kyu Lee (Hongik University, Seoul, Korea), for software engineering methodologies in quantum neural networks

(Projects)

Industry-Funded Projects
- Quantum Machine Learning-based Objection Detection for Point Cloud and its Acceleration
  (양자 머신 러닝 기반 포인트 클라우드 데이터의 객체 탐지 기법 및 고속화)
  Hyundai Motors Company (현대자동차그룹) (2022.12-2024.04)
Government-Funded Projects
- Quantum Hyper-Driving: Quantum-Inspired Hyper-Connected and Hyper-Sensing Autonomous Mobility Technologies
  (Quantum Hyper-Driving: 양자 컴퓨팅 기반 초연결 고차원-센싱 자율이동체 기술)
  National Research Foundation (NRF) (한국연구재단 중견연구자지원사업) (2022.03-2025.02) ACK: 2022R1A2C2004869
- Quantum Reinforcement Learning for Satellite Backhaul Routing in Disaster Networks
  (재난망 위성 백홀을 위한 퀀텀강화학습기반의 라우팅 알고리즘 최적화 연구)
  Electronics and Telecommunications Research Institute (ETRI) (한국전자통신연구원 용역과제) (2024.05-2024.11)
- Research on Quantum Multi-Agent Reinforcement Learning Stability (Research on Multi-Agent Reinforcement Learning Exploration, Communication, Training Strategy)
  (퀀텀멀티에이전트 강화학습 안정성 확보 연구개발 [멀티에이전트 강화학습 탐색, 통신, 학습전략 기술연구])
  Electronics and Telecommunications Research Institute (ETRI) (한국전자통신연구원 위탁과제) (2023.09-2024.01) ACK: FA2386-22-1-4009
  Primary-PI: Prof. Soohyun Park at Sookmyung Women's University
- Development of Quantum Deep Reinforcement Learning Algorithm using QAOA
  (QAOA를 이용한 양자 심층 강화 학습 알고리즘 개발)
  National Research Foundation (NRF) (한국연구재단 양자컴퓨팅기술개발사업) (2019.10-2022.04) ACK: 2019M3E4A1080391

(Selected Publications)

Quantum AI Theory
- 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
Quantum Visual Learning
- 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
- 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
- Stereoscopic Scalable Quantum Convolutional Neural Networks
  Neural Networks (Elsevier) (2023) H. Baek, W. J. Yun, S. Park, J. Kim
- 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
- 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)
Quantum Distributed Learning (Federated Learning and Split Learning)
- Dynamic Quantum Federated Learning for UAV-based Autonomous Surveillance
  IEEE Transactions on Vehicular Technology (2024) S. Park, S. B. Son, S. Jung, J. Kim
- 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
- 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
- Dynamic Quantum Federated Learning for Satellite-Ground Integrated Systems using Slimmable Quantum Neural Networks
  IEEE Access (2024) S. Park, S. Jung, J. Kim
- Quantum Split Learning for Privacy-Preserving Information Management
  ACM CIKM (2023) S. Park, H. Baek, J. Kim
- Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications
  ICT Express (Elsevier) (2023) Y. Kwak, W. J. Yun, J. P. Kim, H. Cho, J. Park, M. Choi, S. Jung, J. Kim
- 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)
Quantum Reinforcement Learning
- Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse
  IEEE Transactions on Mobile Computing (Online) S. Park, J. Chung, C. Park, S. Jung, M. Choi, S. Cho, J. Kim
- 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
- Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation
  IEEE Communications Magazine (2024) S. Park, J. P. Kim, C. Park, S. Jung, J. Kim
- Quantum Reinforcement Learning for Spatio-Temporal Prioritization in Metaverse
  IEEE Access (2024) S. Park, H. Baek, J. Kim
- Logarithmic Dimension Reduction for Quantum Neural Networks
  ACM CIKM (2023) H. Baek, S. Park, J. Kim
- Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems
  IEEE Internet of Things Journal (2023) C. Park, W. J. Yun, J. P. Kim, S. Park, T. K. Rodrigues, S. Jung, J. Kim
- Quantum Multiagent Actor-Critic Neural Networks for Internet-Connected Multirobot Coordination in Smart Factory Management
  IEEE Internet of Things Journal (2023) W. J. Yun, J. P. Kim, S. Jung, J.-H. Kim, J. Kim
- Quantum Multi-Agent Meta Reinforcement Learning
  AAAI (2023) W. J. Yun, J. Park, J. Kim
- Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design
  IEEE ICDCS (2022) W. J. Yun, Y. Kwak, J. P. Kim, H. Cho, S. Jung, J. Park, J. Kim
Software Engineering and Programming Language Techniques for Quantum Machine Learning
- AQUA: Analytics-driven Quantum Neural Network (QNN) User Assistance for Software Validation
  Future Generation Computer Systems (Elsevier) (2024) S. Park, H. Baek, J. W. Yoon, Y. K. Lee, J. Kim
- EQuaTE: Efficient Quantum Train Engine for Run-Time Dynamic Analysis and Visual Feedback in Autonomous Driving
  IEEE Internet Computing (2023) S. Park, H. Feng, C. Park, Y. K. Lee, S. Jung, J. Kim
- EQuaTE: Efficient Quantum Train Engine Design and Demonstration for Dynamic Software Analysis
  IEEE ICDCS (2023) S. Park, H. Feng, W. J. Yun, C. Park, Y. K. Lee, S. Jung, J. Kim
Others
- (Review) Introduction to Quantum Multi-Agent Reinforcement Learning: Concepts and Applications
  ICTC AI Special Session (2024) Y. Cho, S. B. Son, S. Park, J. Kim
- Quantum Reinforcement Learning: Concepts, Models, and Applications
  ICIT (2024) J. Kim
- Diffusion-based Quantum Error Mitigation using Stochastic Differential Equation
  IEEE VTS APWCS (2024) J. Y. Shim, J. Kim
- 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
- Quantum Federated Learning for Vehicular Computing Scenarios
  IEEE ICTC (2023) J. Kim
- Introduction to Quantum Centralized-Critic and Multiple-Actor Networks
  IEEE ICTC Recent Results (2023) J. Kim
- Introduction to Quantum Neural Networks
  IEEE ICTC Recent Results (2023) J. Kim
- 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)
- Modern Trends in Quantum AI: Distributed and High-Definition Computation
  IEEE ICOIN (2023) J. P. Kim, W. J. Yun, H. Baek, J. Kim
- 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
- 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)
- Quantum Neural Networks: Concepts, Applications, and Challenges
  IEEE ICUFN (2021) Y. Kwak, W. J. Yun, S. Jung, J. Kim
- 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
- A Tutorial on Quantum Graph Recurrent Neural Network (QGRNN)
  IEEE ICOIN (2021) J. Choi, S. Oh, J. Kim
- A Quantum Approach to the Minimum Dominating Set Problem
  QTML (2020) J. Choi, S. Oh, S. Park, J. Kim
- A Tutorial on Quantum Convolutional Neural Networks (QCNN)
  IEEE ICTC (2020) S. Oh, J. Choi, J. Kim
- The Useful Quantum Computing Techniques for Artificial Intelligence Engineers
  IEEE ICOIN (2020) J. Choi, S. Oh, J. Kim
- A Quantum Approach to Max-Weight Independent Set Problem
  QTML (2019) J. Choi, J. Kim
- A Tutorial on Quantum Approximate Optimization Algorithm (QAOA): Fundamentals and Applications
  IEEE ICTC (2019) J. Choi, J. Kim

(Patents)

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

(Demonstrations)

EQuaTE: Efficient Quantum Train Engine Design and Demonstration for Dynamic Software Analysis
IEEE ICDCS Demo (Hong Kong, China, July 2023) S. Park, H. Feng, W. J. Yun, C. Park, Y. K. Lee, S. Jung, J. Kim
Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design
IEEE ICDCS Demo (Bologna, Italy, July 2022) W. J. Yun, Y. Kwak, J. P. Kim, H. Cho, S. Jung, J. Park, J. Kim

(Presentations)

International
- A Paradigm Shift in Future Networks with Quantum Deep Learning, IEEE ICUFN 2022 Tutorial (Barcelona, Spain, 07/2022)
Korean Regional/Local
- 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 Slimmable Federated Learning, 2022 IEIE 6G Core Technology Workshop (Communications Society Fall Workshop) (Online, 09/2022)
- Quantum Deep Learning Basics, 2022 Quantum Communications and Quantum Computing Workshop (Online, 08/2022)
- Quantum Multi-Agent Deep Reinforcement Learning, 2022 KICS Summer Conference Tutorial (Jeju, Korea, 06/2022)
- 2022 OSIA Quantum Algorithm and Quantum Machine Learning Trends Workshop (Online, 03/2022)
  Lecture #1: Quantum Basic Notations and Quantum Circuit Design
  Lecture #2: Quantum Algorithm Basics and Combinatorics Optimization
  Lecture #3: Quantum Machine Learning and Quantum Deep Learning
  Lecture #4: Software Libraries for Quantum Algorithm Implementations
- Quantum Algorithms, University of Seoul (Online, 11/2021)

(Awards and Honors)

HFR Paper Award - (Area: Quantum Technologies and Quantum Communications) (11/2023), KICS and HFR (2023)
[Paper Title] Quantum Multi-Agent Reinforcement Learning for Multi-Metaverse Adaptive Streaming in Hybrid Quantum-Classical Networks
[Winner] Soohyun Park, Hankyul Baek, Joongheon Kim
IEEE VTS Seoul Chapter Award (08/2023), IEEE VTS Asia Pacific Wireless Communications Symposium (2023)
[Paper Title] Quantum Reinforcement Learning for Large-Scale Multi-Agent Decision-Making in Autonomous Aerial Networks
[Winner] Soohyun Park, Joongheon Kim
Finalist (Top 25), Oral Presentation Contest (02/2023), AAAI Student Abstract and Poster (2023)
[Paper Title] FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features
[Winner] Hankyul Baek, Joongheon Kim, et al
Spotlight Presentation (07/2022), ICML Workshop on Dynamic Neural Networks (2022)
[Paper Title] Slimmable Quantum Federated Learning
[Winner] Hankyul Baek, Joongheon Kim, et al
IEEE VTS Seoul Chapter Award (08/2021), IEEE VTS Asia Pacific Wireless Communications Symposium (2021)
[Paper Title] Quantum Scheduling for Millimeter-Wave Observation Satellite Constellation
[Winner] Joongheon Kim, et al