activity
20142026
most citedOptimal Gaussian measurements for phase estimation in single-mode Gaussian metrology

80 citations · 636 across the 44 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

quant-ph2023★ 13 cited

Tight bounds on Pauli channel learning without entanglement

Senrui Chen, Changhun Oh, Sisi Zhou +2

Quantum entanglement is a crucial resource for learning properties from nature, but a precise characterization of its advantage can be challenging. In this work, we consider learni…

quant-ph2023★ 8 cited

Exploring Shallow-Depth Boson Sampling: Towards Scalable Quantum Supremacy

Byeongseon Go, Changhun Oh, Liang Jiang +1

Boson sampling is a sampling task proven to be hard to simulate efficiently using classical computers under plausible assumptions, which makes it an appealing candidate for quantum…

quant-ph2023★ 51 cited

Classical algorithm for simulating experimental Gaussian boson sampling

Changhun Oh, Minzhao Liu, Yuri Alexeev +2

Gaussian boson sampling is a promising candidate for showing experimental quantum advantage. While there is evidence that noiseless Gaussian boson sampling is hard to efficiently s…

quant-ph2023★ 7 cited

Efficacy of virtual purification-based error mitigation on quantum metrology

Hyukgun Kwon, Changhun Oh, Youngrong Lim +2

Noise is the main source that hinders us from fully exploiting quantum advantages in various quantum informational tasks. However, characterizing and calibrating the effect of nois…

physics.comp-ph2023★ 1 cited

Towards Symmetry-Aware Efficient Simulation of Quantum Systems and Beyond

Min Chen, Minzhao Liu, Changhun Oh +3

The efficient simulation of complex quantum systems remains a central challenge due to the exponential growth of Hilbert space with system size. Tensor network methods have long be…

quant-ph2023★ 11 cited

Quantum-inspired classical algorithm for graph problems by Gaussian boson sampling

Changhun Oh, Bill Fefferman, Liang Jiang +1

We present a quantum-inspired classical algorithm that can be used for graph-theoretical problems, such as finding the densest -subgraph and finding the maximum weight clique, w…

quant-ph2023★ 24 cited

Simulating lossy Gaussian boson sampling with matrix product operators

Minzhao Liu, Changhun Oh, Junyu Liu +2

Gaussian boson sampling, a computational model that is widely believed to admit quantum supremacy, has already been experimentally demonstrated and is claimed to surpass the classi…