23 citations · 39 across the 12 of their papers we have counts for
13 papers
Quantum Metrology for Signals with an Unknown Causal Structure
Gwon Ryul Han, Hyukgun Kwon, Seok Hyung Lie
Quantum sensing protocols usually presuppose where and when each signal acts, yet this information is unavailable beforehand in experiments such as scattering and radar. We show th…
Quantum channel learning with limited parallel access
Mahadevan Subramanian, Hyukgun Kwon, Liang Jiang
Quantum channels can be characterized by their action on an orthogonal operator basis, where these operators are related to observable properties of the quantum system. For qudit a…
Performance and Stability of Quantum Krylov Diagonalization for the Hubbard Model
Mohammad Mirzakhani, Hyukgun Kwon, Kyungsun Moon
Quantum Krylov diagonalization (QKD) has emerged as a promising hybrid quantum-classical approach for estimating ground-state properties of many-body systems on near-term quantum d…
Time-Multiplexed Distributed Quantum Sensing
Hanbom Yoo, Hyukgun Kwon, Seongjin Hong
Quantum metrology enables parameter estimation beyond classical limits by exploiting nonclassical resources such as squeezing and entanglement. In distributed quantum sensing, Heis…
Quantum advantages for syndrome-aware noisy logical observable estimation
Kento Tsubouchi, Hyukgun Kwon, Liang Jiang +1
Recent progress in fault-tolerant quantum computing suggests that leveraging error-syndrome information at the logical layer can substantially improve performance, including the es…
Universal Sample Complexity Bounds in Quantum Learning Theory via Fisher Information Matrix
Hyukgun Kwon, Seok Hyung Lie, Liang Jiang
We show that the sample complexity required in quantum learning theory within a general parametric framework is fundamentally governed by the inverse Fisher information matrix. Mor…
Restoring Heisenberg scaling in time via autonomous quantum error correction
Hyukgun Kwon, Uwe R. Fischer, Seung-Woo Lee +1
We establish a sufficient condition under which autonomous quantum error correction (AutoQEC) can effectively restore Heisenberg scaling (HS) in quantum metrology. Specifically, we…
Criteria for unbiased estimation: applications to noise-agnostic sensing and quantum channel estimation
Hyukgun Kwon, Kento Tsubouchi, Chia-Tung Chu +1
We establish the necessary and sufficient conditions for {local} unbiased estimation in multi-parameter estimation tasks. More specifically, we first consider quantum state estimat…
Virtual purification complements quantum error correction in quantum metrology
Hyukgun Kwon, Changhun Oh, Youngrong Lim +3
Quantum resources enable one to achieve quantum-enhanced estimation sensitivity beyond its classical counterpart. Many studies mainly focus on reducing statistical error, under the…
Efficacy of virtual purification-based error mitigation on quantum metrology
Hyukgun Kwon, Changhun Oh, Youngrong Lim +2
Noise is the main source that hinders us from fully exploiting quantum advantages in various quantum informational tasks. However, characterizing and calibrating the effect of nois…
Adaptive Basis Sets for Practical Quantum Computing
Hyuk-Yong Kwon, Gregory M. Curtin, Zachary Morrow +2
Electronic structure calculations on small systems such as H, HO, LiH, and BeH with chemical accuracy are still a challenge for the current generation of the noisy inte…
Virtual distillation with noise dilution
Yong Siah Teo, Seongwook Shin, Hyukgun Kwon +2
Virtual distillation is an error-mitigation technique that reduces quantum-computation errors without assuming the noise type. In scenarios where the user of a quantum circuit is r…
Quantum Metrological Power of Continuous-Variable Quantum Networks
Hyukgun Kwon, Youngrong Lim, Liang Jiang +2
We investigate the quantum metrological power of typical continuous-variable (CV) quantum networks. Particularly, we show that most CV quantum networks provide an entanglement to q…