He received his PhD in theoretical condensed matter physics from Rutgers University, USA. He then completed postdoctoral research appointments at the Max Planck Institute for the Physics of Complex Systems in Dresden, Germany, and at Aarhus University. He subsequently worked as a senior researcher at the Institute for Basic Science, Center for Theoretical Physics of Complex Systems (PCS IBS), South Korea, until Dec. 31, 2025. His research interests span fundamental and applied aspects of quantum information science, including quantum error correction, open quantum systems, and nonequilibrium dynamics. He also studies complex systems phenomena such as synchronization, emergent behavior, and chaos in many-body systems. In particular, he is interested in developing and applying machine-learning techniques for phase classification, model reduction, and control, aiming to bridge quantum information science and complex systems and to foster interdisciplinary collaborations.

*. Google Scholar: https://scholar.google.com/citations?hl=ko&user=hY72m2IAAAAJ

He received a Bachelor's degree in Computer Engineering and Applied Mathematics from Pukyong National University, Busan, South Korea, in 2021.  He is currently working toward an integrated MS and PhD degree in the Department of AI Convergence at Pukyong National University, Busan, South Korea. His research interests include quantum error mitigation and quantum error correction.

Research

• Quantum Random Access Memory

• Quantum Error Correction

Award

The 18th International SoC Conference (ISOCC 2021) Best Paper Award, Oct. 2021

Journal Article

Enhancing the Bucket Brigade Quantum Random Access Memory using Redundant Repair

Dongmin Kim, Sanghyeon Lee, Sengthai Heng, Youngsun Han, "Enhancing the Bucket Brigade Quantum Random Access Memory using Redundant Repair," Scientific Reports, vol.16, no.3092, Dec. 2025

A Hybrid Quantum-Classical Model for Stock Price Prediction Using Quantum-Enhanced Long Short-Term Memory

Kimleang Kea, Dongmin Kim, Chansreynich Huot, Tae-Kyung Kim, Youngsun Han, "A Hybrid Quantum-Classical Model for Stock Price Prediction Using Quantum-Enhanced Long Short-Term Memory," Entropy, vol.26, no.11, Nov. 2024

Robust Hybrid Qubit Plane Architecture for Enhancing Lattice Surgery-based Surface Code

Sengthai Heng, Sovanmonynuth Heng, Dongmin Kim, Youngsun Han, "Robust Hybrid Qubit Plane Architecture for Enhancing Lattice Surgery-based Surface Code", Physical Review A, vol.109, no.2, Feb. 2024 

Mitigating Fabrication Errors by Recovering Defective Syndrome Qubits in Surface Code

Sengthai Heng, Dongmin Kim, Youngsun Han, "Mitigating Fabrication Errors by Recovering Defective Syndrome Qubits in Surface Code," Physical Review A, vol.109, no.1, Jan. 2024 

How to Solve Combinatorial Optimization Problems Using Real Quantum Machines: A Recent Survey

Sovanmonynuth Heng, Dongmin Kim, Taekyung Kim, Youngsun Han, "How to Solve Combinatorial Optimization Problems using Real Quantum Machines: A Recent Survey", IEEE Access, vol.10, Nov. 2022

A Parallelized Qubit Mapping Algorithm for Large-Scale Quantum Circuits

Dongmin Kim, Sengthai Heng, Youngsun Han, "A Parallelized Qubit Mapping Algorithm for Large-Scale Quantum Circuits",  IEIE Transactions on Smart Processing and Computing (SPC), vol.11, no.1, Feb. 2022

A Novel ReRAM-based Architecture of Field Sequential Color Driver for High-Resolution LCoS Displays

Youngsun Han, Dongmin Kim, Yongtae Kim, "A Novel ReRAM-based Architecture of Field Sequential Color Driver for High-Resolution LCoS Displays", IEEE Access, vol.8, Dec. 2020

Conference

The Design of an Optimal Scheduler for a Virtualized Quantum Error Correction Decoder Architecture

Dongmin Kim, Jeonggeun Seo, Youngsun Han, "The Design of an Optimal Scheduler for a Virtualized Quantum Error Correction Decoder Architecture," The 22th International SoC Conference (ISOCC), Busan, South Korea, 2025.10

Leveraging Dynamic Zoom-In Technique for Enhanced Object Detection in Foveated Images

Huot Chansreynich, Kimleang Kea, Dongmin Kim, Youngsun Han, "Leveraging Dynamic Zoom-In Technique for Enhanced Object Detection in Foveated Images", The 12th International Conference on Green and Human Information Technology (ICGHIT 2024),  Jan. 2024

Decomposition Analysis of Quantum Native Gates on Various Quantum Computers

Sengthai Heng, Dongmin Kim, Sovanmonynuth Heng, Youngsun Han, "Decomposition Analysis of Quantum Native Gates on Various Quantum Computers", 37th International Technical Conference on Circuits, Systems, Computers, and Communication (ITC-CSCC), Jul. 2022

A Lightweight Hardware Accelerator for Quantum Computer Simulation Using Memristor Crossbars

Sanghyeon Lee, Dongmin Kim, and Youngsun Han, "A Lightweight Hardware Accelerator for Quantum Computer Simulation Using Memristor Crossbars", The 18th International SoC Conference (ISOCC 2021), Oct. 2021, Best Paper Award

Decomposition of Quantum circuit for the Qubit mapping problem

Dongmin Kim, Sengthai Heng,  Leanghok Hour, and Youngsun Han, "Decomposition of Quantum circuit for the Qubit mapping problem", 36th International Technical Conference on Circuits, Systems, Computers, and Communication (ITC-CSCC), Jun. 2021

VLC-based secure password transmission using deep learning

Sanghyeon Lee, Dongmin Kim,  Dokyung Yu, Haeun Kim, and Youngsun Han, "VLC-based secure password transmission using deep learning", 36th International Technical Conference on Circuits, Systems, Computers, and Communication (ITC-CSCC), Jun. 2021

Performance analysis of Quantum computer simulation using Qiskit

Dongmin Kim,  Sanghyeon Lee, Sengthai Heng, Yerim Lee, and Youngsun Han, "Performance analysis of Quantum computer simulation using Qiskit", 2021 International Conference on Electronics, Information, and Communication (ICEIC), Jan. 2021

ReRAM 기반의 LCoS 디스플레이용 FSC 드라이버 설계

김동민, 이예림, 김용태, 한영선, "ReRAM 기반의 LCoS 디스플레이용 FSC 드라이버 설계", 2019년도 대한전자공학회 추계학술대회, 2019.11

Patent

김동민,  Hour Leanghok, 이상현, 한영선,  "특징 선택 및 스코어링 알고리즘을 이용한 딥러닝 프레임워크 추천 시스템 및 방법", 등록번호 10-2800388, 등록일 2025-04-21

He received a Bachelor's degree in Management Information Systems from SETEC Institute, Phnom Penh, Cambodia, in 2019. He is currently working toward an integrated MS and PhD degree in the Department of AI Convergence at Pukyong National University, Busan, South Korea. His research interests include compilers, deep learning, and memory systems.

Research

• Quantum Error Mitigation

• Quantum Software Stack Development

Journal Article

Strategies for Noise-Resilient Quantum Approximate Optimization Algorithms: A Review and Classification of Error Mitigation

Kimchhor Chiv, Leanghok Hour, Sanghyeon Lee, Tara Kit, Tae-kyung Kim, Youngsun Han, "Strategies for Noise-Resilient Quantum Approximate Optimization Algorithms: A Review and Classification of Error Mitigation," IEEE Access, vol.13, pp.216916-216936, Dec. 2025

Context-Aware Coupler Reconfiguration for Tunable Coupler-Based Superconducting Quantum Computers

Leanghok Hour, Sovanmonynuth Heng, Sengthai Heng, Myeongseong Go, Youngsun Han, "Context-Aware Coupler Reconfiguration for Tunable Coupler-Based Superconducting Quantum Computers," Quantum Science and Technology, vol.10, no.1, Oct. 2024

ReQUSA: A Novel ReRAM-based Hardware Accelerator Architecture for High-Speed Quantum Computer Simulation

Sanghyeon Lee, Leanghok Hour, Yongtae Kim, Youngsun Han, "ReQUSA: A Novel ReRAM-based Hardware Accelerator Architecture for High-Speed Quantum Computer Simulation",  Physica Scripta, vol.99, no.3, Feb. 2024

Conference

Resource-Efficient Simulation of Large Quantum Circuits Using Circuit Partitioning and Qubit Reuse

Leanghok Hour, Muyleang Ing, Youngsun Han, "Resource-Efficient Simulation of Large Quantum Circuits Using Circuit Partitioning and Qubit Reuse," The 10th International Conference On Consumer Electronics (ICCE) Asia, Busan, South Korea, Oct. 2025

Noise-Aware Calibration-Based Adaptive Gate Folding for Linear Zero-Noise Extrapolation

Leanghok Hour, Myeongseong Go, Youngsun Han, "Noise-Aware Calibration-Based Adaptive Gate Folding for Linear Zero-Noise Extrapolation," 2nd Workshop on Quantum Software (WQS), Jun. 2025

Preliminary Study on Reducing Memory Overhead in Accelerating Quantum Computer Simulations Using PIM Technology

Leanghok Hour, Myeongseong Go, Youngsun Han, "Preliminary Study on Reducing Memory Overhead in Accelerating Quantum Computer Simulations Using PIM Technology", The 20th International SoC Conference (ISOCC 2023), Oct. 2023

Partitioning Deep Learning Model to Reduce Memory Latency for Custom Hardware Accelerator

Leanghok Hour, Sanghyeon Lee, Hyoju Seo, Yongtae Kim, Youngsun Han, "Partitioning Deep Learning Model to Reduce Memory Latency for Custom Hardware Accelerator", 37th International Technical Conference on Circuits, Systems, Computers, and Communication (ITC-CSCC), Jul. 2022

Decomposition of Quantum circuit for the Qubit mapping problem

Dongmin Kim, Sengthai Heng,  Leanghok Hour, Youngsun Han, "Decomposition of Quantum circuit for the Qubit mapping problem", 36th International Technical Conference on Circuits, Systems, Computers, and Communication (ITC-CSCC), Jun. 2021

Patent

Hour Leanghok, 이상현, 고명성, 한영선, "연합 학습을 위한 게더 스캐터 기반의 데이터 패턴 분석 공 유를 위한 장치 및 방법", 등록번호 10-2834072, 등록일 2025-07-10

김동민,  Hour Leanghok, 이상현, 한영선,  "특징 선택 및 스코어링 알고리즘을 이용한 딥러닝 프레임워크 추천 시스템 및 방법", 등록번호 10-2800388, 등록일 2025-04-21

He received an integrated BS and MS degree in the Department of AI Convergence at Pukyong National University, Busan, South Korea, in 2024. He is currently pursuing a PhD degree in the Department of AI Convergence at Pukyong National University in Busan, South Korea. His research interests include compiler and quantum computing.

Research

• Quantum Error Mitigation

• Quantum Software Stack Development

Award

The 18th International SoC Conference (ISOCC 2021) Best Paper Award, Oct. 2021

Journal Article

Strategies for Noise-Resilient Quantum Approximate Optimization Algorithms: A Review and Classification of Error Mitigation

Kimchhor Chiv, Leanghok Hour, Sanghyeon Lee, Tara Kit, Tae-kyung Kim, Youngsun Han, "Strategies for Noise-Resilient Quantum Approximate Optimization Algorithms: A Review and Classification of Error Mitigation," IEEE Access, vol.13, pp.216916-216936, Dec. 2025

Enhancing the Bucket Brigade Quantum Random Access Memory using Redundant Repair

Dongmin Kim, Sanghyeon Lee, Sengthai Heng, Youngsun Han, "Enhancing the Bucket Brigade Quantum Random Access Memory using Redundant Repair," Scientific Reports, vol.16, no.3092, Dec. 2025

ReQUSA: A Novel ReRAM-based Hardware Accelerator Architecture for High-Speed Quantum Computer Simulation

Sanghyeon Lee, Leanghok Hour, Yongtae Kim, Youngsun Han, "ReQUSA: A Novel ReRAM-based Hardware Accelerator Architecture for High-Speed Quantum Computer Simulation",  Physica Scripta, vol.99, no.3, Feb. 2024

Resource-Optimized Design of Bit-Shuffle Block Coding for MIMO-VLC

Youngsun Han, Sanghyeon Lee, Byungwook Kim, and Yongtae Kim, "Resource-Optimized Design of Bit-Shuffle Block Coding for MIMO-VLC", IEEE Access, vol.9, pp.97675-97685, Jul. 2021

Conference

Accelerating YOLO-based Real-time Object Detection via Foveated Rendering 

Kimleang Kea, Sanghyeon Lee, Myeongjin Kwak, Youngsun Han, "Accelerating YOLO-based Real-time Object Detection via Foveated Rendering", The 8th International Conference on Consumer Electronics Asia (ICCE-Asia 2023), Oct. 2023

Partitioning Deep Learning Model to Reduce Memory Latency for Custom Hardware Accelerator

Leanghok Hour, Sanghyeon Lee, Hyoju Seo, Yongtae Kim, Youngsun Han, "Partitioning Deep Learning Model to Reduce Memory Latency for Custom Hardware Accelerator", 37th International Technical Conference on Circuits, Systems, Computers, and Communication (ITC-CSCC), Jul. 2022

A Lightweight Hardware Accelerator for Quantum Computer Simulation Using Memristor Crossbars

Sanghyeon Lee, Dongmin Kim, Youngsun Han, "A Lightweight Hardware Accelerator for Quantum Computer Simulation Using Memristor Crossbars", The 18th International SoC Conference (ISOCC 2021), Oct. 2021, Best Paper Award

VLC-based secure password transmission using deep learning

Sanghyeon Lee, Dongmin Kim,  Dokyung Yu, Haeun Kim, Youngsun Han, "VLC-based secure password transmission using deep learning", 36th International Technical Conference on Circuits, Systems, Computers, and Communication (ITC-CSCC), Jun. 2021

Performance analysis of Quantum computer simulation using Qiskit

Dongmin Kim,  Sanghyeon Lee, Sengthai Heng, Yerim Lee, Youngsun Han, "Performance analysis of Quantum computer simulation using Qiskit", 2021 International Conference on Electronics, Information, and Communication (ICEIC), Jan. 2021

아이웨어 기기를 위한 다중센서를 이용한 포비티드 디스플레이 제어의 설계 및 구현

Mayoura Sor, 이상현, 고명성, 한영선, "아이웨어 기기를 위한 다중센서를 이용한 포비티드 디스플레이 제어의 설계 및 구현", 2022년도 대한전자공학회 하계학술대회, 2022.06

Patent

Hour Leanghok, 이상현, 고명성, 한영선, "연합 학습을 위한 게더 스캐터 기반의 데이터 패턴 분석 공 유를 위한 장치 및 방법", 등록번호 10-2834072, 등록일 2025-07-10

김동민,  Hour Leanghok, 이상현, 한영선,  "특징 선택 및 스코어링 알고리즘을 이용한 딥러닝 프레임워크 추천 시스템 및 방법", 등록번호 10-2800388, 등록일 2025-04-21

He received an integrated BS and MS degree in the Department of AI Convergence at Pukyong National University, Busan, South Korea, in 2025. He is working toward a PhD degree in the Department of AI Convergence at Pukyong National University, Busan, South Korea. His research interests include deep learning and quantum computing.

Research

• Quantum Machine Learning

Journal

A Hybrid Quantum-Classical Network for Eye-Written Digit Recognition

Kimsay Pov, Tara Kit, Myeongseong Go, Won-du Chang, Youngsun Han, "A Hybrid Quantum-Classical Network for Eye-Written Digit Recognition," Electronics, vol.14, no.16, 3220, Aug. 2025 

Context-Aware Coupler Reconfiguration for Tunable Coupler-Based Superconducting Quantum Computers

Leanghok Hour, Sovanmonynuth Heng, Sengthai Heng, Myeongseong Go, Youngsun Han, "Context-Aware Coupler Reconfiguration for Tunable Coupler-Based Superconducting Quantum Computers," Quantum Science and Technology, vol.10, no.1, Oct. 2024

Conference

A Lightweight Hybrid Classical-Quantum Model for Brain Tumor Classification

Myeongseong Go, Kimsay Pov, Tara Kit, Youngsun Han, "A Lightweight Hybrid Classical-Quantum Model for Brain Tumor Classification," 25th Asian Quantum Information Science Conference (AQIS), Aug. 2025

Noise-Aware Calibration-Based Adaptive Gate Folding for Linear Zero-Noise Extrapolation

Leanghok Hour, Myeongseong Go, Youngsun Han, "Noise-Aware Calibration-Based Adaptive Gate Folding for Linear Zero-Noise Extrapolation," 2nd Workshop on Quantum Software (WQS), Jun. 2025

Using Zero-Noise Extrapolation to Improve Variational Quantum Eigensolver for Portfolio Optimization

Kimchhor Chiv, Chansreynich Huot, Myeongseong Go, Youngsun Han, "Using Zero-Noise Extrapolation to improve Variational Quantum Eigensolver for Portfolio Optimization," 2024년도 한국통신학회 추계학술대회, Nov. 2024Preliminary 

Study on Reducing Memory Overhead in Accelerating Quantum Computer Simulations Using PIM Technology

Leanghok Hour, Myeongseong Go, Youngsun Han, "Preliminary Study on Reducing Memory Overhead in Accelerating Quantum Computer Simulations Using PIM Technology", The 20th International SoC Conference (ISOCC 2023), Oct. 2023

아이웨어 기기를 위한 다중센서를 이용한 포비티드 디스플레이 제어의 설계 및 구현

Mayoura Sor, 이상현, 고명성, 한영선, "아이웨어 기기를 위한 다중센서를 이용한 포비티드 디스플레이 제어의 설계 및 구현", 2022년도 대한전자공학회 하계학술대회, 2022.06

Patent

Hour Leanghok, 이상현, 고명성, 한영선, "연합 학습을 위한 게더 스캐터 기반의 데이터 패턴 분석 공 유를 위한 장치 및 방법", 등록번호 10-2834072, 등록일 2025-07-10

He received a Bachelor's degree in Computer Science and Engineering from the Royal University of Phnom Penh, Cambodia, in 2020. He received an MS degree in the Department of AI Convergence at Pukyong National University, Busan, South Korea, in 2025. He is now pursuing a PhD degree in the Department of AI Convergence at Pukyong National University, Busan, South Korea. His current research interests include Quantum Machine Learning. 

Research

• Quantum Machine Learning

Award

The 12th International Conference on Big Data Applications and Services (BIGDAS) Best Paper Award, Aug. 2024

Journal

Enhancing a Convolutional Autoencoder with a Quantum Approximate Optimization Algorithm for Image Noise Reduction

Tara Kit, Kimleang Kea, Kimsay Pov, Won-du Chang, Hee Chul Park, Youngsun Han, "Enhancing a Convolutional Autoencoder with a Quantum Approximate Optimization Algorithm for Image Noise Reduction," Machine Learning: Science and Technology, vol.6, no.4, Oct. 2025

A Hybrid Quantum-Classical Network for Eye-Written Digit Recognition

Kimsay Pov, Tara Kit, Myeongseong Go, Won-du Chang, Youngsun Han, "A Hybrid Quantum-Classical Network for Eye-Written Digit Recognition," Electronics, vol.14, no.16, 3220, Aug. 2025 

MoTUNet: A MobileNetV2-Transformer U-Net for Water Body Segmentation

Kimsay Pov, Tara Kit, Tae-Kyung Kim, Youngsun Han, "MoTUNet: A MobileNetV2-Transformer U-Net for Water Body Segmentation," Journal of Internet of Things and Convergence, vol.11, no.2, pp.63-75, Apr. 2025

Conference

A Lightweight Hybrid Classical-Quantum Model for Brain Tumor Classification

Myeongseong Go, Kimsay Pov, Tara Kit, Youngsun Han, "A Lightweight Hybrid Classical-Quantum Model for Brain Tumor Classification," 25th Asian Quantum Information Science Conference (AQIS), Aug. 2025

Deep Learning-Based Real-Time Flood Detection Using a Dynamic Virtual Baseline

Tara Kit, Kimsay Pov, Youngsun Han, "Deep Learning-based Real-time Flood Detection Using a Dynamic Virtual Baseline," The 13th International Conference on Green and Human Information Technology (ICGHIT), Jan. 2025

Enhancing Stock Price Prediction with QLSTM: A Hybrid Quantum-Classical Approach Leveraging Classical LSTM

Kit Tara, Kimsay Pov, Youngsun Han, "Enhancing Stock Price Prediction with QLSTM: A Hybrid Quantum-Classical Approach Leveraging Classical LSTM", The 12th International Conference on Big Data Applications and Services (BIGDAS),  Aug. 2024

He received a Bachelor's degree in Computer Science from the Royal University of Phnom Penh, Cambodia, in 2023. He is working towards an integrated MS and PhD degree in the Department of AI Convergence at Pukyong National University, Busan, South Korea. His research interests include compilers, deep learning, and quantum computing.

Research

• Quantum Software Stack Development

• Quantum Error Mitigation

He is working towards an integrated BS and MS degree in the Department of AI Convergence at Pukyoung National University, Busan, South Korea. His research interest is quantum error correction.

Research

• Quantum Error Correction

Conference

The Design of an Optimal Scheduler for a Virtualized Quantum Error Correction Decoder Architecture

Dongmin Kim, Jeonggeun Seo, Youngsun Han, "The Design of an Optimal Scheduler for a Virtualized Quantum Error Correction Decoder Architecture," The 22th International SoC Conference (ISOCC), Busan, South Korea, 2025.10

He received his Bachelor’s degree in Computer Science from the Royal University of Phnom Penh, Cambodia, in 2023. He is currently pursuing a Master’s degree in the Department of AI Convergence at Pukyong National University, Busan, South Korea. His research interests include simulators, deep learning, and quantum computing.

Research

• Quantum Software Stack Development

Conference

Resource-Efficient Simulation of Large Quantum Circuits Using Circuit Partitioning and Qubit Reuse

Leanghok Hour, Muyleang Ing, Youngsun Han, "Resource-Efficient Simulation of Large Quantum Circuits Using Circuit Partitioning and Qubit Reuse," The 10th International Conference On Consumer Electronics (ICCE) Asia, Busan, South Korea, Oct. 2025

She received a Bachelor’s degree in Computer Science from the Royal University of Phnom Penh, Cambodia, in 2024. She is pursuing an MS degree in the Department of AI Convergence at Pukyong National University, Busan, South Korea. Her research interests include compilers and quantum computing.

Research

• Quantum Software Stack Development

He received a Bachelor’s degree in Computer Science from the Royal University of Phnom Penh, Cambodia, in 2023. He worked as an MLOps and AI Engineer at WING Bank of Cambodia for 1.5 years. He is currently pursuing a Master’s degree in the Department of AI Convergence at Pukyong National University, Busan, South Korea. His research interests include MLOps, machine learning systems, and applied artificial intelligence.

Research

• Quantum Software Stack Development

She received a Bachelor's degree in Computer Science from the Royal University of Phnom Penh, Cambodia, in 2022. She is working towards an integrated MS and PhD degree in the Department of AI Convergence at Pukyong National University, Busan, South Korea. Her research interests include deep learning and quantum computing.

Research

• Quantum Machine Learning

Conference

Strategies for Noise-Resilient Quantum Approximate Optimization Algorithms: A Review and Classification of Error Mitigation

Kimchhor Chiv, Leanghok Hour, Sanghyeon Lee, Tara Kit, Tae-kyung Kim, Youngsun Han, "Strategies for Noise-Resilient Quantum Approximate Optimization Algorithms: A Review and Classification of Error Mitigation," IEEE Access, vol.13, pp.216916-216936, Dec. 2025

Using Zero-Noise Extrapolation to Improve Variational Quantum Eigensolver for Portfolio Optimization

Kimchhor Chiv, Chansreynich Huot, Myeongseong Go, Youngsun Han, "Using Zero-Noise Extrapolation to improve Variational Quantum Eigensolver for Portfolio Optimization," 2024년도 한국통신학회 추계학술대회, Nov. 2024

Efficient Transpilation of Quantum Circuits to Quantum Intermediate Representation

Sengthai Heng, Nagyeong Choi, Kimchhor Chiv, Youngsun Han, "Efficient Transpilation of Quantum Circuits to Quantum Intermediate Representation", 24th Asian Quantum Information Science Conference (AQIS 2024), Aug. 2024

He received a Bachelor's degree in Computer Science and Engineering from the Royal University of Phnom Penh, Cambodia, in 2020. He is pursuing an MS degree in the Department of AI Convergence at Pukyong National University, Busan, South Korea. His current research interests include Quantum Machine Learning and Quantum Blockchain. 

Research

• Quantum Machine Learning

Award

The 12th International Conference on Big Data Applications and Services (BIGDAS) Best Paper Award, Aug. 2024

Journal

Strategies for Noise-Resilient Quantum Approximate Optimization Algorithms: A Review and Classification of Error Mitigation

Kimchhor Chiv, Leanghok Hour, Sanghyeon Lee, Tara Kit, Tae-kyung Kim, Youngsun Han, "Strategies for Noise-Resilient Quantum Approximate Optimization Algorithms: A Review and Classification of Error Mitigation," IEEE Access, vol.13, pp.216916-216936, Dec. 2025

Enhancing a Convolutional Autoencoder with a Quantum Approximate Optimization Algorithm for Image Noise Reduction

Tara Kit, Kimleang Kea, Kimsay Pov, Won-du Chang, Hee Chul Park, Youngsun Han, "Enhancing a Convolutional Autoencoder with a Quantum Approximate Optimization Algorithm for Image Noise Reduction," Machine Learning: Science and Technology, vol.6, no.4, Oct. 2025

A Hybrid Quantum-Classical Network for Eye-Written Digit Recognition

Kimsay Pov, Tara Kit, Myeongseong Go, Won-du Chang, Youngsun Han, "A Hybrid Quantum-Classical Network for Eye-Written Digit Recognition," Electronics, vol.14, no.16, 3220, Aug. 2025 

Dynamic Polygon-Based Reverse Driving Detection Technique for Enhanced Road Safety

Tara Kit, Youngsun Han, Anand Nayyar, Tae-Kyung Kim, "Dynamic Polygon-Based Reverse Driving Detection Technique for Enhanced Road Safety," International Journal of Advanced Computer Science and Applications (IJACSA), vol.16, no.6, Jun. 2025

MoTUNet: A MobileNetV2-Transformer U-Net for Water Body Segmentation

Kimsay Pov, Tara Kit, Tae-Kyung Kim, Youngsun Han, "MoTUNet: A MobileNetV2-Transformer U-Net for Water Body Segmentation," Journal of Internet of Things and Convergence, vol.11, no.2, pp.63-75, Apr. 2025

Conference

A Lightweight Hybrid Classical-Quantum Model for Brain Tumor Classification

Myeongseong Go, Kimsay Pov, Tara Kit, Youngsun Han, "A Lightweight Hybrid Classical-Quantum Model for Brain Tumor Classification," 25th Asian Quantum Information Science Conference (AQIS), Aug. 2025

Deep Learning-Based Real-Time Flood Detection Using a Dynamic Virtual Baseline

Tara Kit, Kimsay Pov, Youngsun Han, "Deep Learning-based Real-time Flood Detection Using a Dynamic Virtual Baseline," The 13th International Conference on Green and Human Information Technology (ICGHIT), Jan. 2025

Enhancing Stock Price Prediction with QLSTM: A Hybrid Quantum-Classical Approach Leveraging Classical LSTM

Tara Kit, Kimsay Pov, Youngsun Han, "Enhancing Stock Price Prediction with QLSTM: A Hybrid Quantum-Classical Approach Leveraging Classical LSTM", The 12th International Conference on Big Data Applications and Services (BIGDAS),  Aug. 2024

She received a Bachelor's degree in Computer Engineering from Pukyong National University, Busan, South Korea, in 2023. She is working toward a Master's degree in the Department of AI Convergence at Pukyong National University, Busan, South Korea. Her research interests include compiler and quantum computing.

Research

• Quantum Software Framework 

Award

Annual Symposium of KIPS 2025 (ASK) Best Paper Award, May 2025

Conference

Accelerating Randomized Benchmarking using Conditional Statements on Quantum Cloud Computing

Nagyeong Choi, Youngsun Han, "Accelerating Randomized Benchmarking using Conditional Statements on Quantum Cloud Computing,"  Annual Symposium of KIPS 2025 (ASK), May 2025

Efficient Transpilation of Quantum Circuits to Quantum Intermediate Representation

Sengthai Heng, Nagyeong Choi, Kimchhor Chiv, Youngsun Han, "Efficient Transpilation of Quantum Circuits to Quantum Intermediate Representation", 24th Asian Quantum Information Science Conference (AQIS 2024), Aug. 2024

He received a Bachelor's degree in Information Technology from the University of Cambodia, Phnom Penh, Cambodia, in 2019. He received a PhD degree from the Department of AI Convergence at Pukyong National University, Busan, South Korea, in 2025.

Research

• Quantum Software Framework

• Deep Learning Software Framework

Award

2021 대한전자공학회 SPC 해동우수논문상, Nov. 2021

Journal Article

Enhancing the Bucket Brigade Quantum Random Access Memory using Redundant Repair

Dongmin Kim, Sanghyeon Lee, Sengthai Heng, Youngsun Han, "Enhancing the Bucket Brigade Quantum Random Access Memory using Redundant Repair," Scientific Reports, vol.16, no.3092, Dec. 2025

Context-Aware Coupler Reconfiguration for Tunable Coupler-Based Superconducting Quantum Computers

Leanghok Hour, Sovanmonynuth Heng, Sengthai Heng, Myeongseong Go, Youngsun Han, "Context-Aware Coupler Reconfiguration for Tunable Coupler-Based Superconducting Quantum Computers," Quantum Science and Technology, vol.10, no.1, Oct. 2024

A Robust Hybrid Qubit Plane Architecture for Enhancing Lattice Surgery-based Surface Code

Sengthai Heng, Sovanmonynuth Heng, Dongmin Kim, Youngsun Han, "Robust Hybrid Qubit Plane Architecture for Enhancing Lattice Surgery-based Surface Code", Physical Review A, vol.109, no.2, Feb. 2024 

Mitigating Fabrication Errors by Recovering Defective Syndrome Qubits in Surface Code

Sengthai Heng, Dongmin Kim, Youngsun Han, "Mitigating Fabrication Errors by Recovering Defective Syndrome Qubits in Surface Code," Physical Review A, vol.109, no.1, Jan. 2024 

A Parallelized Qubit Mapping Algorithm for Large-Scale Quantum Circuits

Dongmin Kim, Sengthai Heng, Youngsun Han, "A Parallelized Qubit Mapping Algorithm for Large-Scale Quantum Circuits",  IEIE Transactions on Smart Processing and Computing (SPC), vol.11, no.1, Feb. 2022

Recent Advances in Qubit Allocation Algorithm for NISQ Architectures 

Sengthai Heng, Taekyung Kim, Youngsun Han, "Recent Advances in Qubit Allocation Algorithm for NISQ Architectures", IEIE Transactions on Smart Processing and Computing (SPC), vol.10, no.3, Jun. 2021

Exploiting GPU-based Parallelism for Quantum Computer Simulation: A Survey

Sengthai Heng, Taekyung Kim, Youngsun Han, "Exploiting GPU-based Parallelism for Quantum Computer Simulation: A Survey", IEIE Transactions on Smart Processing and Computing (SPC), vol.9, no.6, Dec. 2020

Conference

Efficient Transpilation of Quantum Circuits to Quantum Intermediate Representation

Sengthai Heng, Nagyeong Choi, Kimchhor Chiv, Youngsun Han, "Efficient Transpilation of Quantum Circuits to Quantum Intermediate Representation", 24th Asian Quantum Information Science Conference (AQIS 2024), Aug. 2024

Decomposition Analysis of Quantum Native Gates on Various Quantum Computers

Sengthai Heng, Dongmin Kim, Sovanmonynuth Heng, Youngsun Han, "Decomposition Analysis of Quantum Native Gates on Various Quantum Computers", 37th International Technical Conference on Circuits, Systems, Computers, and Communication (ITC-CSCC), Jul. 2022

Decomposition of Quantum circuit for the Qubit mapping problem

Dongmin Kim, Sengthai Heng,  Leanghok Hour, and Youngsun Han, "Decomposition of Quantum circuit for the Qubit mapping problem", 36th International Technical Conference on Circuits, Systems, Computers, and Communication (ITC-CSCC), Jun. 2021

Performance analysis of Quantum computer simulation using Qiskit

Dongmin Kim,  Sanghyeon Lee, Sengthai Heng, Yerim Lee, and Youngsun Han, "Performance analysis of Quantum computer simulation using Qiskit", 2021 International Conference on Electronics, Information, and Communication (ICEIC), Jan. 2021

Patent

Heng Sengthai, 한영선, "양자회로 컴파일 장치 및 방법," 출원번호, 10-2025-0033960, 출원일 2025.03.17

Heng Sengthai, 김동민, 한영선, "격자 수술 기반 표면 코드의 견고성 향상을 위한 하이브리드 코드 거리 논리 큐빗 평면 구조," 출원번호, 10-2025-0026631, 출원일 2025.02.28

She received a Bachelor's degree in Informatics Economics from the Royal University of Law and Economics, Phnom Penh, Cambodia, in 2020. She received a Master's degree in the Department of AI Convergence at Pukyong National University, Busan, South Korea, in 2025.

Research

• Quantum Machine Learning

• EPS Monitoring System

Journal Article

Enhancing Knapsack-based Financial Portfolio Optimization using Quantum Approximate Optimization Algorithm

Chansreynich Huot, Kimleang Kea, Tae-Kyung Kim, Youngsun Han, "Enhancing Knapsack-based Financial Portfolio Optimization using Quantum Approximate Optimization Algorithm", IEEE Access,  vol. 12, Nov. 2024

Quantum Autoencoder for Enhanced Fraud Detection in Imbalanced Credit Card Dataset

Chansreynich Huot , Sovanmonynuth Heng, Tae-Kyung Kim, Youngsun Han, "Quantum Autoencoder for Enhanced Fraud Detection in Imbalanced Credit Card Dataset", IEEE Access, vol. 12, Nov. 2024

A Hybrid Quantum-Classical Model for Stock Price Prediction Using Quantum-Enhanced Long Short-Term Memory

Kimleang Kea, Dongmin Kim, Chansreynich Huot, Tae-Kyung Kim, Youngsun Han, "A Hybrid Quantum-Classical Model for Stock Price Prediction Using Quantum-Enhanced Long Short-Term Memory", Entropy, vol.26, no.11, Nov. 2024

Leveraging Knapsack QAOA Approach for Optimal Electric Vehicle Charging

Kimleang Kea, Chansreynich Huot, Youngsun Han, "Leveraging Knapsack QAOA Approach for Optimal Electric Vehicle Charging",  IEEE Access, vol.11, Oct. 2023

Conference

Using Zero-Noise Extrapolation to Improve Variational Quantum Eigensolver for Portfolio Optimization

Kimchhor Chiv, Chansreynich Huot, Myeongseong Go, Youngsun Han, "Using Zero-Noise Extrapolation to improve Variational Quantum Eigensolver for Portfolio Optimization," 2024년도 한국통신학회 추계학술대회, Nov. 2024Leveraging Dynamic Zoom-In Technique for Enhanced Object Detection in Foveated Images

Huot Chansreynich, Kimleang Kea, Dongmin Kim, Youngsun Han, "Leveraging Dynamic Zoom-In Technique for Enhanced Object Detection in Foveated Images", The 12th International Conference on Green and Human Information Technology (ICGHIT 2024), Jan. 2024

She received a Bachelor's degree in Computer Science from Norton University of Cambodia, Phnom Penh, Cambodia, in 2020. She received a Master's degree in the Department of AI Convergence at Pukyong National University, Busan, South Korea, in 2025.

Research

• Quantum Software Framework

• Quantum Error Mitigation

Journal Article

Quantum Autoencoder for Enhanced Fraud Detection in Imbalanced Credit Card Dataset

Chansreynich Huot , Sovanmonynuth Heng, Tae-Kyung Kim, Youngsun Han, "Quantum Autoencoder for Enhanced Fraud Detection in Imbalanced Credit Card Dataset", IEEE Access, vol. 12, Nov. 2024

Context-Aware Coupler Reconfiguration for Tunable Coupler-Based Superconducting Quantum Computers

Leanghok Hour, Sovanmonynuth Heng, Sengthai Heng, Myeongseong Go, Youngsun Han, "Context-Aware Coupler Reconfiguration for Tunable Coupler-Based Superconducting Quantum Computers," Quantum Science and Technology, vol.10, no.1, Oct. 2024

Robust Hybrid Qubit Plane Architecture for Enhancing Lattice Surgery-based Surface Code

Sengthai Heng, Sovanmonynuth Heng, Dongmin Kim, Youngsun Han, "Robust Hybrid Qubit Plane Architecture for Enhancing Lattice Surgery-based Surface Code", Physical Review A, vol.109, no.2, Feb. 2024 

How to Solve Combinatorial Optimization Problems Using Real Quantum Machines: A Recent Survey

Sovanmonynuth Heng, Dongmin Kim, Taekyung Kim, Youngsun Han, "How to Solve Combinatorial Optimization Problems using Real Quantum Machines: A Recent Survey", IEEE Access, vol.10, Nov. 2022

Conference

Decomposition Analysis of Quantum Native Gates on Various Quantum Computers

Sengthai Heng, Dongmin Kim, Sovanmonynuth Heng, Youngsun Han, "Decomposition Analysis of Quantum Native Gates on Various Quantum Computers", 37th International Technical Conference on Circuits, Systems, Computers, and Communication (ITC-CSCC), Jul. 2022

He received a Bachelor’s degree in Computer Science and Engineering from the Royal University of Phnom Penh, Phnom Penh, Cambodia, in 2020. He received an M.S. degree at the Department of AI Convergence from Pukyong National University, Busan, South Korea, in 2024. 

Research

• Quantum Machine Learning

• Micro-display Controller Design

• Distributed Power Controller Management

Journal Article

Enhancing a Convolutional Autoencoder with a Quantum Approximate Optimization Algorithm for Image Noise Reduction

Tara Kit, Kimleang Kea, Kimsay Pov, Won-du Chang, Hee Chul Park, Youngsun Han, "Enhancing a Convolutional Autoencoder with a Quantum Approximate Optimization Algorithm for Image Noise Reduction," Machine Learning: Science and Technology, vol.6, no.4, Oct. 2025

Enhancing Knapsack-based Financial Portfolio Optimization using Quantum Approximate Optimization Algorithm

Chansreynich Huot, Kimleang Kea, Tae-Kyung Kim, Youngsun Han, "Enhancing Knapsack-based Financial Portfolio Optimization using Quantum Approximate Optimization Algorithm", IEEE Access,  vol. 12, Nov. 2024

A Hybrid Quantum-Classical Model for Stock Price Prediction Using Quantum-Enhanced Long Short-Term Memory

Kimleang Kea, Dongmin Kim, Chansreynich Huot, Tae-Kyung Kim, Youngsun Han, "A Hybrid Quantum-Classical Model for Stock Price Prediction Using Quantum-Enhanced Long Short-Term Memory", Entropy, vol.26, no.11, Nov. 2024

Multiple Sensor-based Adaptive Foveated Display Control for Enhanced Computational Efficiency of Virtual Reality Devices

Kimleang Kea, Youngsun Han, Tae-Kyung Kim, "Multiple Sensor-based Adaptive Foveated Display Control for Enhanced Computational Efficiency of Virtual Reality Devices",  KSII Transactions on Internet and Information Systems, vol.18, no.12,  Dec. 2024

A Federated Learning Approach for Efficient Anomaly Detection in Electric Power Steering Systems

Kimleang Kea, Youngsun Han, Young-Jae Min, "A Federated Learning Approach for Efficient Anomaly Detection in Electric Power Steering Systems,"  IEEE Access, vol.12, May 2024 

Leveraging Knapsack QAOA Approach for Optimal Electric Vehicle Charging

Kimleang Kea, Chansreynich Huot, Youngsun Han, "Leveraging Knapsack QAOA Approach for Optimal Electric Vehicle Charging",  IEEE Access, vol.11, Oct. 2023

Enhancing Anomaly Detection in Distributed Power Systems using Autoencoder-based Federated Learning

Kimleang Kea, Youngsun Han, Tae-Kyung Kim, "Enhancing Anomaly Detection in Distributed Power Systems using Autoencoder-based Federated Learning", Plus One, vol.18, no.8, Aug. 2023

Design and Implementation of a Data-Driven Defect and Linearity Assessment Monitoring System for Electric Power Steering

Alabe Lawal Wale, Kimleang Kea, Youngsun Han, Tae-Kyung Kim, "Design and Implementation of a Data-Driven Defect and Linearity Assessment Monitoring System for Electric Power Steering", Journal of Internet of Things and Convergence, vol.9, no.2, Apr. 2023

A Deep Learning Approach to Detect Anomalies in an Electric Power Steering System

Alabe Lawal Wale, Kimleang Kea, Youngsun Han, Young-Jae Min, Tae-Kyung Kim, "A Deep Learning Approach to Detect Anomalies in an Electric Power Steering System", Sensors, vol.22, no.22, Article No. 8981, Nov. 2022

Conference

Leveraging Dynamic Zoom-In Technique for Enhanced Object Detection in Foveated Images

Huot Chansreynich, Kimleang Kea, Dongmin Kim, Youngsun Han, "Leveraging Dynamic Zoom-In Technique for Enhanced Object Detection in Foveated Images", The 12th International Conference on Green and Human Information Technology (ICGHIT 2024),  Jan. 2024

Accelerating YOLO-based Real-time Object Detection via Foveated Rendering 

Kimleang Kea, Sanghyeon Lee, Myeongjin Kwak, Youngsun Han, "Accelerating YOLO-based Real-time Object Detection via Foveated Rendering", The 8th International Conference on Consumer Electronics Asia (ICCE-Asia 2023), Oct. 2023

EPS 결험 모니터링 시스템의 설계 및 구현

Alabe Lawal Wale, Mayoura Sor, Kimleang Kea, 한영선, "EPS 결험 모니터링 시스템의 설계 및 구현", 2022년도 대한전자공학회 하계학술대회, 2022.06

Patent

Kea Kimleang, 이상현, 한영선, "객체 감지 성능 향상을 위한 포비티드 이미지 렌더링 장치 및 방법," 국내 / 출원, 10-2023-0160441, 출원일 2023.11.20

이상현, 고명성, Kea Kimleang, Sor Mayoura, "아이웨어 기기를 위한 적응형 포비티드 디스플레이 제어 장치 및 방법", 출원번호 10-2022-0167856, 출원일 2021. 12. 20

He received a Bachelor's degree in Electrical/Electronic Engineering from Kwara State University, Nigeria, in 2019. He received an M.S. degree in the Department of AI Convergence from Pukyong National University, Busan, South Korea, in 2023. 

Research

• EPS Monitoring System

Journal Article

Design and Implementation of a Data-Driven Defect and Linearity Assessment Monitoring System for Electric Power Steering

Alabe Lawal Wale, Kimleang Kea, Youngsun Han, Tae-Kyung Kim, "Design and Implementation of a Data-Driven Defect and Linearity Assessment Monitoring System for Electric Power Steering", Journal of Internet of Things and Convergence, vol.9, no.2, Apr. 2023

A Deep Learning Approach to Detect Anomalies in an Electric Power Steering System

Alabe Lawal Wale, Kimleang Kea, Youngsun Han, Young-Jae Min, Tae-Kyung Kim, "A Deep Learning Approach to Detect Anomalies in an Electric Power Steering System", Sensors, vol.22, no.22, Article No. 8981, Nov. 2022

Conference

EPS 결험 모니터링 시스템의 설계 및 구현

Alabe Lawal Wale, Mayoura Sor, Kimleang Kea, 한영선, "EPS 결험 모니터링 시스템의 설계 및 구현", 2022년도 대한전자공학회 하계학술대회, 2022.06