5 papers
Fundamental Limitations of Post-Quantum Cryptographic Architectures
Jiho Jung, Donghwa Ji, Mingyu Lee +1
Modern lattice-based cryptography, particularly the learning with errors paradigm, relies on injecting artificial noise to secure data against quantum adversaries. This study syste…
Projected Dynamic Programming for Sequential Quantum State Discrimination
Jaehun Jeong, Donghwa Ji, Hyunjun Jang +1
Sequential Quantum State Discrimination (SQSD) can be naturally framed as a sequential decision-making problem: at each time step, an agent must decide whether to perform an additi…
A Mutual Information-based Metric for Temporal Expressivity and Trainability Estimation in Quantum Policy Gradient Pipelines
Jaehun Jeong, Donghwa Ji, Kabgyun Jeong
In recent years, various limitations of conventional supervised learning have been identified, motivating the development of reinforcement learning--and quantum reinforcement learn…
Bounding quantum uncommon information with quantum neural estimators
Donghwa Ji, Junseo Lee, Myeongjin Shin +2
In classical information theory, uncommon information refers to the amount of information that is not shared between two messages, and it admits an operational interpretation as th…
Disentangling quantum neural networks for unified estimation of quantum entropies and distance measures
Myeongjin Shin, Seungwoo Lee, Junseo Lee +4
The estimation of quantum entropies and distance measures, such as von Neumann entropy, Rényi entropy, Tsallis entropy, trace distance, and fidelity-induced distances such as the…