4 citations · 16 across the 18 of their papers we have counts for
7 papers · 1 filter
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…