Nai-Hui Chia - Concepedia

Author

Nai-Hui Chia

The University of Texas at Austin ORCID

Also Known As

Chia, Nai-Hui, Larka, Nikita, Nai-Hui Chia

Publications

307

Citations

H-Index

Concepts

All Affiliations

The University of Texas at Austin University of Washington National Yang Ming Chiao Tung University Pennsylvania State University Academia Sinica

About

Nai-Hui Chia is an author at The University of Texas at Austin specializing in computer science, engineering, and quantum science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	95
2	Natural Sciences	2	2	35
3	Management	1	1	10
4	Communication	1	1	10
5	Computer Engineering	1	1	19

Nai-Hui Chia

Publications

246

Citations

H-Index

Page 1

	Year	Citations
Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing Quantum machine learning Nai-Hui Chia, András Gilyén, Tongyang Li,	2020	83
Quantum-Inspired Algorithms for Solving Low-Rank Linear Equation Systems with Logarithmic Dependence on the Dimension Nai-Hui Chia arXiv (Cornell University)	2018	40
Sampling-based Sublinear Low-rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning Nai-Hui Chia, András Gilyén, Tongyang Li, Journal of the ACM Quantum Linear AlgebraEngineeringQuantum System SoftwareQuantum ProgrammingQuantum Applications	2022	31
On the need for large Quantum depth Nai-Hui Chia, Kai-Min Chung, Ching–Yi Lai Quantum CompilersQuantum ScienceQuantum Fourier TransformEngineeringQuantum Computing	2020	23
QMLP: An Error-Tolerant Nonlinear Quantum MLP Architecture using Parameterized Two-Qubit Gates Cheng Chu, Nai-Hui Chia, Lei Jiang, EngineeringQuantum System SoftwareRich NonlinearityParameterized Two-qubit GatesQuantum Engineering	2022	19
On the Quantum Complexity of Closest Pair and Related Problems Scott Aaronson, Nai-Hui Chia, Han-Hsuan Lin, DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)	2020	17
On the Need for Large Quantum Depth Nai-Hui Chia, Kai-Min Chung, Ching–Yi Lai Journal of the ACM EngineeringQuantum System SoftwareLarge Quantum DepthComputational ComplexityHybrid Model	2022	12
Efficient learning of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>t</mml:mi></mml:math>-doped stabilizer states with single-copy measurements Nai-Hui Chia, Ching–Yi Lai, Han-Hsuan Lin Quantum	2024	11
On bundle configuration for viral marketing in social networks De-Nian Yang, Wang-Chien Lee, Nai-Hui Chia, EngineeringDigital MarketingNetwork AnalysisCommunicationComputational Social Science	2012	10

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