Research
Publications
Papers and preprints on quantum machine learning, quantum error correction, and neural quantum states. An asterisk marks first authorship, following the CV.
Preprints
- 2026
Stochastic Reconfiguration as Statistical Filtering for Overparameterized Neural Quantum States
Tak Hur* · arXiv:2609.23334
- 2026
Machine Learning Approaches to Decoding Topological Quantum Codes
C. Lee, T. Hur, J. Jae, and D. Park · arXiv:2608.15760
- 2025
Scalable Neural Decoders for Practical Real-Time Quantum Error Correction
C. Lee, T. Hur*, and D. Park · arXiv:2510.22724
- 2025
Optimizing Quantum Data Embeddings for Ligand-Based Virtual Screening
J. Choi, T. Hur, S. Jeong, et al. · arXiv:2512.16177
Published papers
- 2025
Multi-channel Convolutional Neural Quantum Embedding
Y. Kim, C. Im, C. Kim, T. Hur, and D. Park · Advanced Quantum Technologies, e00575
- 2025
Neural Quantum Embedding via Deterministic Quantum Computation with One Qubit
H. Liu, T. Hur*, S. Zhang, et al. · Physical Review Letters 135, 080603
- 2025
Understanding Generalization in Quantum Machine Learning with Margins
T. Hur* and D. Park · International Conference on Machine Learning (ICML)
- 2025
Early-stage Detection of Cognitive Impairment by Hybrid Quantum-Classical Algorithm Using Resting-state Functional MRI Time-series
J. Choi, T. Hur, D. Park, N. Shin, S. Lee, H. Lee, and S. Han · Knowledge-Based Systems 310, 112922
- 2024
Neural Quantum Embedding: Pushing the Limits of Quantum Supervised Learning
T. Hur*, I. Araujo, and D. Park · Physical Review A 110, 022411
- 2024
Generative Modeling of Quantum Distribution with Functional Flow Matching
J. Hahm, T. Hur*, J. Lee, and D. Park · Quantum Techniques in Machine Learning (QTML)
- 2022
Quantum Convolutional Neural Network for Classical Data Classification
T. Hur*, L. Kim, and D. Park · Quantum Machine Intelligence 4, 3