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20182021
most citedQuantum amplitude estimation algorithms on IBM quantum devices

8 citations · 15 across the 3 of their papers we have counts for

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6 papers · 1 filter

quant-ph2023

Optimal realization of Yang-Baxter gate on quantum computers

Kun Zhang, Kwangmin Yu, Kun Hao +1

Quantum computers provide a promising method to study the dynamics of many-body systems beyond classical simulation. On the other hand, the analytical methods developed and results…

quant-ph2023

Parallel hybrid quantum-classical machine learning for kernelized time-series classification

Jack S. Baker, Gilchan Park, Kwangmin Yu +3

Supervised time-series classification garners widespread interest because of its applicability throughout a broad application domain including finance, astronomy, biosensors, and m…

quant-ph2021

Implementation of efficient quantum search algorithms on NISQ computers

Kun Zhang, Pooja Rao, Kwangmin Yu +2

Despite the advent of Grover's algorithm for the unstructured search, its successful implementation on near-term quantum devices is still limited. We apply three strategies to redu…

quant-ph20208 cited

Quantum amplitude estimation algorithms on IBM quantum devices

Pooja Rao, Kwangmin Yu, Hyunkyung Lim +2

Since the publication of the Quantum Amplitude Estimation (QAE) algorithm by Brassard et al., 2002, several variations have been proposed, such as Aaronson et al., 2019, Grinko et…

quant-ph20206 cited

Comparison of Amplitude Estimation Algorithms by Implementation

Kwangmin Yu, Hyunkyung Lim, Pooja Rao +1

Since the quantum amplitude estimation (QAE) was invented by Brassard et al., 2002, several advanced algorithms have recently been published (Grinko et al., 2019, Aaronson et al, a…

quant-ph20201 cited

Practical numerical integration on NISQ devices

Kwangmin Yu, Hyunkyung Lim, Pooja Rao

This paper addresses the practical aspects of quantum algorithms used in numerical integration, specifically their implementation on Noisy Intermediate-Scale Quantum (NISQ) devices…