10 papers
Bound Entanglement Is Insufficient for an Exponential Quantum Learning Advantage
Hyeongu Kang, Sangwoo Jeon, Changhun Oh
While entanglement is known to enable exponential improvements in the sample complexity of quantum learning, it remains unclear which properties of entangled resources are responsi…
Disentangling Haldane Phase by Generalized Clifford Circuits
Minsoo Kim, Changhun Oh, Donghoon Kim
Disentangling transformations play a central role in the classical simulation of quantum many-body systems, yet their analytic structure and underlying mechanism remain largely une…
When to Skip Syndrome Extraction in Surface-GKP Codes
Vaughn Sohn, Changhun Oh
Fault-tolerant quantum error correction requires repeated syndrome extraction to address errors induced by the syndrome-extraction circuit itself. However, repeated syndrome extrac…
Classical simulation of free-fermionic dynamics and quantum chemistry with magic input
Changhun Oh, MichaÅ Oszmaniec, Oliver Reardon-Smith +1
Establishing the precise computational boundary between classically tractable fermionic systems and those capable of genuine quantum advantage is a central challenge in quantum sim…
Heisenberg-limited Hamiltonian learning without short-time control
Myeongjin Shin, Junseo Lee, Changhun Oh
Characterizing quantum systems by learning their underlying Hamiltonians is a central task in quantum information science. While recent algorithmic advances have achieved near-opti…
Complexity phase transition for continuous-variable cluster state
Byeongseon Go, Hyunseok Jeong, Changhun Oh
Continuous-variable (CV) cluster states offer a promising platform for large-scale measurement-based quantum computations (MBQC). However, finite squeezing inevitably introduces Ga…