80 citations · 636 across the 44 of their papers we have counts for
5 papers · 2 filters
Sufficient conditions for hardness of lossy Gaussian boson sampling
Byeongseon Go, Changhun Oh, Hyunseok Jeong
Gaussian boson sampling (GBS) is a prominent candidate for the experimental demonstration of quantum advantage. However, while the current implementations of GBS are unavoidably su…
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…
Classical algorithms for estimating expectation values in linear-optical circuits
Youngrong Lim, Changhun Oh
We present a classical algorithm for approximating the expectation values of observables in linear-optical circuits with arbitrary product input states, achieving additive-error ac…
Advancing quantum imaging through learning theory
Yunkai Wang, Changhun Oh, Junyu Liu +2
We study quantum imaging by applying the resolvable expressive capacity (REC) formalism developed for physical neural networks (PNNs). In this paradigm of quantum learning, the ima…
Quantum computational advantage of noisy boson sampling with partially distinguishable photons
Byeongseon Go, Changhun Oh, Hyunseok Jeong
Boson sampling stands out as a promising approach toward experimental demonstration of quantum computational advantage. However, the presence of physical noise in near-term experim…