activity
20232026
most citedReducing Circuit Depth in Quantum State Preparation for Quantum Simulation Using Measurements and Feedforward

4 citations · 8 across the 7 of their papers we have counts for

collaborators

10 papers

q-fin.TR2026

Pricing the Unprovable: Ambiguity, Turnstile Runs, and the Verifiability Discount in Crypto Protocols

Doohwi Cha, Hanhee Kim, Hyeonjun Yeo +5

Privacy-preserving protocols can repair a vulnerability without establishing whether it was exploited beforehand, even when no theft is reported and aggregate supply is protected.…

q-fin.TR2026

NEST: Stale-Robust Tokenized-Stock Measurement for a Crypto-Treasury LETF Stack

Doohwi Cha, Minsuk Sung, Minjae Lee +5

Tokenized equities trade while listed markets are closed, so their marks could improve off-hours measurement along layered exposures that link Bitcoin, crypto-treasury stocks, and…

q-fin.TR2026

Neural Estimation of Irreversibility in Real and Simulated Limit Order Book Paths

Hyeonjun Yeo, Doohwi Cha, Yoontae Hwang

A path indistinguishable from its own reverse carries no arrow of time, so time irreversibility is a necessary condition for a directed mechanism to be readable from trajectories a…

quant-ph2026

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…

quant-ph2026

Rodeo Filtering for Direct Steady-State Estimation in Open Quantum Systems

Hyeonjun Yeo, Jongin Jeong, Soyoung Shin +1

Computing non-equilibrium steady states of open quantum systems is a challenging task on conventional computers, motivating quantum algorithms for direct steady-state estimation. A…

quant-ph2025

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)…

quant-ph2025★ 4 cited

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…

quant-ph2024★ 3 cited

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…

quant-ph2024★ 1 cited

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…

quant-ph2023

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…