4 citations · 16 across the 18 of their papers we have counts for
21 papers
Estimation of Quantum Umlaut Information
Beomjoon Kim, Donghwa Ji, Kabgyun Jeong
Quantifying correlations is important for understanding how quantum states and channels support information processing. Quantum umlaut information connects such correlations to…
Optimal (Parallel) Spooky Pebbling on Binary Trees
Mingyu Lee, Sanghyun Lee, Kabgyun Jeong
Pebble games model computations under a fixed space budget. Spooky pebbling allows quantum memory to be released by measurement, with the resulting phases corrected later. We study…
Entanglement Structure Across Phase Transitions in 1D Rydberg Atom Arrays
Hyeonjun Yeo, Kabgyun Jeong, Hyunchul Nha
Multipartite quantum entanglement plays a crucial role in the emergence of different quantum phases and their transitions in quantum many-body systems. It is of general interest to…
Concentration of Measure Phenomena for Quantum States on a Higher Dimensional Equator
Kabgyun Jeong
We revisit Lévy's lemma, a widely used analytical tool in quantum information theory. Concentration inequalities quantify the phenomenon in which Lipschitz observables concentrate…
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…
Near optimal quantum algorithm for estimating Shannon entropy
Myeongjin Shin, Kabgyun Jeong
We present a near-optimal quantum algorithm, up to logarithmic factors, for estimating the Shannon entropy in the quantum probability oracle model. Our approach combines the singul…
Quantum entanglement and extractable work for Gaussian states
Jaewon Lee, Changsuk Noh, Kabgyun Jeong +1
The study of quantum thermodynamics aims to elucidate the role played by quantum principles in the emergent features of quantum thermodynamic processes. Specifically, it is of fund…
Collapses in quantum-classical probabilistically checkable proofs and the quantum polynomial hierarchy
Kartik Anand, Kabgyun Jeong, Junseo Lee
We investigate the structure of quantum proof systems by establishing collapse results that reveal simplifications in their complexity landscape. By extending classical theorems su…
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…
Designing Minimalistic Variational Quantum Ansatz Inspired by Algorithmic Cooling
Soyoung Shin, Ha Eum Kim, Hyeonjun Yeo +3
This study introduces a novel minimalistic variational quantum ansatz inspired by algorithmic cooling principles. The proposed Heat Exchange algorithmic cooling ansatz (HE ansatz)…
Reducing Circuit Depth in Quantum State Preparation for Quantum Simulation Using Measurements and Feedforward
Hyeonjun Yeo, Ha Eum Kim, IlKwon Sohn +1
Reducing circuit depth and identifying an optimal trade-off between circuit depth and width is crucial for successful quantum computation. In this context, midcircuit measurement a…
Fault-tolerant and secure long-distance quantum communication via uncorrectable-error-injection
IlKwon Sohn, Boseon Kim, Kwangil Bae +4
Quantum networks aim to facilitate the fault-tolerant and secure transmission of quantum states across distant devices. The widely adopted quantum teleportation scheme requires mul…
Resource-efficient algorithm for estimating the trace of quantum state powers
Myeongjin Shin, Junseo Lee, Seungwoo Lee +1
Estimating the trace of quantum state powers, , for identical quantum states is a fundamental task with numerous applications in quantum information processing,…
Asymptotic teleportation schemes bridging between standard and port-based teleportation
Ha Eum Kim, Kabgyun Jeong
Various modified quantum teleportation schemes are proposed to overcome experimental constraints or to meet specific application requirements for quantum communication. Hence, most…
Approximating maximum independent set on Rydberg atom arrays using local detunings
Hyeonjun Yeo, Ha Eum Kim, Kabgyun Jeong
Rydberg atom arrays operated by a quantum adiabatic principle are among the most promising quantum simulating platforms due to their scalability and long coherence time. From the p…
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 B…
Weighted -Rényi Entropy Power Inequality: Information Theory to Quantum Shannon Theory
Junseo Lee, Hyeonjun Yeo, Kabgyun Jeong
We study the -Rényi entropy power inequality with a weight factor on two independent continuous random variables and . The extension essentially relies on a modulatio…
Port-based entanglement teleportation via noisy resource states
Ha Eum Kim, Kabgyun Jeong
Port-based teleportation (PBT) represents a variation of the standard quantum teleportation and is currently being employed and explored within the field of quantum information pro…
Mutual information maximizing quantum generative adversarial networks
Mingyu Lee, Myeongjin Shin, Junseo Lee +1
One of the most promising applications in the era of Noisy Intermediate-Scale Quantum (NISQ) computing is quantum generative adversarial networks (QGANs), which offer significant q…