activity
20002023
most citedRelativistic entanglement and Bell's inequality

115 citations · 601 across the 40 of their papers we have counts for

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Showing quant-phShow all

29 papers · 1 filter

quant-ph2023

Non-Markovian noise sources for quantum error mitigation

Doyeol Ahn, Byeongyong Park

Reducing the impact of errors and decoherence in near-term quantum computers, such as noisy intermediate-scale quantum (NISQ) devices, is critical for their practical implementatio…

quant-ph2022★ 1 cited

T-count optimization of approximate quantum Fourier transform

Byeongyong Park, Doyeol Ahn

The quantum Fourier transform (QFT) is a ubiquitous quantum operation that is used in numerous quantum computing applications. The major obstacle to constructing a QFT circuit is t…

quant-ph2021

Filtering of higher-dimensional entanglement networks using information volumes

Shahabeddin M. Aslmarand, Warner A. Miller, Doyeol +2

We introduce a novel geometric approach to characterize entanglement relations in large quantum systems. Our approach is inspired by Schumacher's singlet state triangle inequality,…

quant-ph2021★ 9 cited

Experimental Realization of Schumacher's Information Geometric Bell Inequality

Tahereh Rezaei, Shahabeddin M. Aslmarand, Robert Snyder +6

Quantum mechanics can produce correlations that are stronger than classically allowed. This stronger-than-classical correlation is the "fuel" for quantum computing. In 1991 Schumac…

quant-ph2019★ 1 cited

A tripartite entanglement in de Sitter spacetime

Sang-Eon Bak, Paul M. Alsing, Warner A. Miller +2

We investigate the quantum correlation for tripartite entangled states in de Sitter space. First, we adopt the noisy quantum channel model. In this model, the expansion effect is r…

quant-ph2018★ 51 cited

Adaptive compressive tomography with no a priori information

D. Ahn, Y. S. Teo, H. Jeong +8

Quantum state tomography is both a crucial component in the field of quantum information and computation, and a formidable task that requires an incogitably large number of measure…