23 citations · 39 across the 12 of their papers we have counts for
6 papers · 1 filter
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…