8 papers
Quantum channel learning with limited parallel access
Mahadevan Subramanian, Hyukgun Kwon, Liang Jiang
Quantum channels can characterized by their action on an orthogonal operator basis, where these operators are related to observable properties of the quantum system. For qudit and…
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…
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…
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…