6 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…
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…
Passive Environment-Assisted Quantum Communication
Evelyn Voss, Bikun Li, Zhaoyou Wang +1
As quantum information systems mature, efficient and coherent transfer of quantum information through noisy channels becomes increasingly important. We examine how passive environm…