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 Computer Architecture

• Quantum Error Correction

Award

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

Journal Article

Constraint-Optimal Driven Allocation for Scalable QEC Decoder Scheduling

Dongmin Kim, Jeonggeun Seo, Youngtae Kim, Youngsun Han, "Constraint-Optimal Driven Allocation for Scalable QEC Decoder Scheduling," Physical Review A, vol.113, no.4, pp.042459, Apr. 2026

Enhancing the Yield of Bucket Brigade Quantum Random Access Memory using Redundant Repair

Dongmin Kim, Sanghyeon Lee, Sengthai Heng, Youngsun Han, "Enhancing the Yield of 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

Accelerating an MWPM decoder using Processing-in-Memory

Dongmin Kim, Jeonggeun Seo, Youngsun Han, "Accelerating an MWPM decoder using Processing-in-Memory," KSII Spring Conference 2026, Jeju, South Korea, 2026.05

Evaluation of Acceptance and Fidelity Scaling for Topology-Aware Zero-Level Magic-State Distillation in Lattice and Heavy-Hex Architecture

Leanghok Hour , Dongmin Kim, Sanghyeon Lee, Youngsun Han, "Evaluation of Acceptance and Fidelity Scaling for Topology-Aware Zero-Level Magic-State Distillation in Lattice and Heavy-Hex Architecture," 14th International Conference on Green and Human Information Technology (ICGHIT), Bali, Indonesia, 2026.02

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, 한영선, "Permanent defect qubit repair system and method using built-in-self-repair model at quantum circuit level," 미국 / 등록, 12493814, 등록일 2025-09-12

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

Learning-Optimized Qubit Mapping and Reuse to Minimize Inter-Core Communication in Modular Quantum Architectures

Sokea Sang, Leanghok Hour, Youngsun Han, "Learning-Optimized Qubit Mapping and Reuse to Minimize Inter-Core Communication in Modular Quantum Architectures,"  Physical Review Applied, vol.25, no.5, pp.054023, May 2026

Hybrid Quantum Annealing Approach for High-Dimensional and Multi-Criteria Constrained Quadratic Optimization in Arctic Ship Routing

Tara Kit, Kimsay Pov, Myeongseong Go, Leanghok Hour, Arim Ryou, Kiwoong Kim, Tae-Kyung Kim, Youngsun Han, "Hybrid Quantum Annealing Approach for High-Dimensional and Multi-Criteria Constrained Quadratic Optimization in Arctic Ship Routing," Ocean Engineering, vol.355, pp.125068, Mar. 2026 

Improving Zero-noise Extrapolation for Quantum-gate Error Mitigation using a Noise-aware Folding Method

Leanghok Hour, Myeongseong Go, Youngsun Han, "Improving Zero-noise Extrapolation for Quantum-gate Error Mitigation using a Noise-aware Folding Method," IEEE Access, vol.14, pp.37362-37372, Mar. 2026 

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

Evaluation of Acceptance and Fidelity Scaling for Topology-Aware Zero-Level Magic-State Distillation in Lattice and Heavy-Hex Architecture

Leanghok Hour , Dongmin Kim, Sanghyeon Lee, Youngsun Han, "Evaluation of Acceptance and Fidelity Scaling for Topology-Aware Zero-Level Magic-State Distillation in Lattice and Heavy-Hex Architecture," 14th International Conference on Green and Human Information Technology (ICGHIT), Bali, Indonesia, 2026.02

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 Yield of Bucket Brigade Quantum Random Access Memory using Redundant Repair

Dongmin Kim, Sanghyeon Lee, Sengthai Heng, Youngsun Han, "Enhancing the Yield of 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

Evaluation of Acceptance and Fidelity Scaling for Topology-Aware Zero-Level Magic-State Distillation in Lattice and Heavy-Hex Architecture

Leanghok Hour , Dongmin Kim, Sanghyeon Lee, Youngsun Han, "Evaluation of Acceptance and Fidelity Scaling for Topology-Aware Zero-Level Magic-State Distillation in Lattice and Heavy-Hex Architecture," 14th International Conference on Green and Human Information Technology (ICGHIT), Bali, Indonesia, 2026.02

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

MobileNetV2 Attention Quantum Network (MAQNet): An Efficient Hybrid Quantum-Classical Model for Brain Tumor Classification

Myeongseong Go, Kimsay Pov, Tara Kit, Johnson SG JUN, Youngsun Han, "MobileNetV2 Attention Quantum Network (MAQNet): An Efficient Hybrid Quantum-Classical Model for Brain Tumor Classification," KSII Transactions on Internet and Information Systems (TIIS), vol.20, no.5, pp. 2687-2706, May 2026

Hybrid Quantum Annealing Approach for High-Dimensional and Multi-Criteria Constrained Quadratic Optimization in Arctic Ship Routing

Tara Kit, Kimsay Pov, Myeongseong Go, Leanghok Hour, Arim Ryou, Kiwoong Kim, Tae-Kyung Kim, Youngsun Han, "Hybrid Quantum Annealing Approach for High-Dimensional and Multi-Criteria Constrained Quadratic Optimization in Arctic Ship Routing," Ocean Engineering, vol.355, pp.125068, Mar. 2026 

Improving Zero-noise Extrapolation for Quantum-gate Error Mitigation using a Noise-aware Folding Method

Leanghok Hour, Myeongseong Go, Youngsun Han, "Improving Zero-noise Extrapolation for Quantum-gate Error Mitigation using a Noise-aware Folding Method," IEEE Access, vol.14, pp.37362-37372, Mar. 2026 

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

MobileNetV2 Attention Quantum Network (MAQNet): An Efficient Hybrid Quantum-Classical Model for Brain Tumor Classification

Myeongseong Go, Kimsay Pov, Tara Kit, Johnson SG JUN, Youngsun Han, "MobileNetV2 Attention Quantum Network (MAQNet): An Efficient Hybrid Quantum-Classical Model for Brain Tumor Classification," KSII Transactions on Internet and Information Systems (TIIS), vol.20, no.5, pp. 2687-2706, May 2026

Hybrid Quantum Annealing Approach for High-Dimensional and Multi-Criteria Constrained Quadratic Optimization in Arctic Ship Routing

Tara Kit, Kimsay Pov, Myeongseong Go, Leanghok Hour, Arim Ryou, Kiwoong Kim, Tae-Kyung Kim, Youngsun Han, "Hybrid Quantum Annealing Approach for High-Dimensional and Multi-Criteria Constrained Quadratic Optimization in Arctic Ship Routing," Ocean Engineering, vol.355, pp.125068, Mar. 2026 

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

Journal Article

Learning-Optimized Qubit Mapping and Reuse to Minimize Inter-Core Communication in Modular Quantum Architectures

Sokea Sang, Leanghok Hour, Youngsun Han, "Learning-Optimized Qubit Mapping and Reuse to Minimize Inter-Core Communication in Modular Quantum Architectures,"  Physical Review Applied, vol.25, no.5, pp.054023, May 2026

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

Journal Article

Constraint-Optimal Driven Allocation for Scalable QEC Decoder Scheduling

Dongmin Kim, Jeonggeun Seo, Youngtae Kim, Youngsun Han, "Constraint-Optimal Driven Allocation for Scalable QEC Decoder Scheduling," Physical Review A, vol.113, no.4, pp.042459, Apr. 2026

Conference

Accelerating an MWPM decoder using Processing-in-Memory

Dongmin Kim, Jeonggeun Seo, Youngsun Han, "Accelerating an MWPM decoder using Processing-in-Memory," KSII Spring Conference 2026, Jeju, South Korea, 2026.05

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

He is working towards an integrated BS and MS degree in the Department of Computer Engineering at Pukyoung National University, Busan, South Korea. His research interests include compiler and quantum computing.

Research

• Quantum Software Stack Development