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ORCIDEwin Tang
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- affiliation: University of Washington, WA, USA
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Journal Articles
- 2022
[j2]Nai-Hui Chia
, András Pal Gilyén, Tongyang Li, Han-Hsuan Lin, Ewin Tang, Chunhao Wang:
Sampling-based Sublinear Low-rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning. J. ACM 69(5): 33:1-33:72 (2022)- [j1]András Gilyén, Zhao Song, Ewin Tang:
An improved quantum-inspired algorithm for linear regression. Quantum 6: 754 (2022)
Conference and Workshop Papers
- 2024
- [c9]Ainesh Bakshi, Ewin Tang:
An Improved Classical Singular Value Transformation for Quantum Machine Learning. SODA 2024: 2398-2453 - [c8]Ewin Tang, Kevin Tian:
A CS guide to the quantum singular value transformation. SOSA 2024: 121-143 - [c7]Ainesh Bakshi, Allen Liu, Ankur Moitra, Ewin Tang:
Learning Quantum Hamiltonians at Any Temperature in Polynomial Time. STOC 2024: 1470-1477 - 2023
- [c6]Jeongwan Haah, Robin Kothari, Ryan O'Donnell, Ewin Tang:
Query-optimal estimation of unitary channels in diamond distance. FOCS 2023: 363-390 - 2022
- [c5]Matt Ziegler, Galen Weld, Ewin Tang, Maureen Daum:
Demo: Visualizing USSD and IVR Usage Data with Icicle Charts. COMPASS 2022: 707-710 - [c4]Jeongwan Haah, Robin Kothari, Ewin Tang:
Optimal learning of quantum Hamiltonians from high-temperature Gibbs states. FOCS 2022: 135-146 - 2020
- [c3]Nai-Hui Chia, András Gilyén, Han-Hsuan Lin, Seth Lloyd, Ewin Tang, Chunhao Wang:
Quantum-Inspired Algorithms for Solving Low-Rank Linear Equation Systems with Logarithmic Dependence on the Dimension. ISAAC 2020: 47:1-47:17 - [c2]Nai-Hui Chia, András Gilyén, Tongyang Li, Han-Hsuan Lin, Ewin Tang, Chunhao Wang:
Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning. STOC 2020: 387-400 - 2019
- [c1]Ewin Tang:
A quantum-inspired classical algorithm for recommendation systems. STOC 2019: 217-228
Informal and Other Publications
- 2024
- [i14]Ainesh Bakshi, Allen Liu, Ankur Moitra, Ewin Tang:
High-Temperature Gibbs States are Unentangled and Efficiently Preparable. CoRR abs/2403.16850 (2024) - [i13]Ainesh Bakshi, Allen Liu, Ankur Moitra, Ewin Tang:
Structure learning of Hamiltonians from real-time evolution. CoRR abs/2405.00082 (2024) - 2023
- [i12]Jeongwan Haah, Robin Kothari, Ryan O'Donnell, Ewin Tang:
Query-optimal estimation of unitary channels in diamond distance. CoRR abs/2302.14066 (2023) - [i11]Ewin Tang, Kevin Tian:
A CS guide to the quantum singular value transformation. CoRR abs/2302.14324 (2023) - [i10]Ainesh Bakshi, Ewin Tang:
An Improved Classical Singular Value Transformation for Quantum Machine Learning. CoRR abs/2303.01492 (2023) - [i9]João F. Doriguello, Alessandro Luongo, Ewin Tang:
Do you know what q-means? CoRR abs/2308.09701 (2023) - [i8]Ainesh Bakshi, Allen Liu, Ankur Moitra, Ewin Tang:
Learning quantum Hamiltonians at any temperature in polynomial time. CoRR abs/2310.02243 (2023) - 2021
- [i7]Jeongwan Haah, Robin Kothari, Ewin Tang:
Optimal learning of quantum Hamiltonians from high-temperature Gibbs states. CoRR abs/2108.04842 (2021) - 2020
- [i6]András Gilyén, Zhao Song, Ewin Tang:
An improved quantum-inspired algorithm for linear regression. CoRR abs/2009.07268 (2020) - 2019
- [i5]Nai-Hui Chia, András Gilyén, Tongyang Li, Han-Hsuan Lin, Ewin Tang, Chunhao Wang:
Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning. CoRR abs/1910.06151 (2019) - 2018
- [i4]Ewin Tang:
A quantum-inspired classical algorithm for recommendation systems. CoRR abs/1807.04271 (2018) - [i3]Ewin Tang:
Quantum-inspired classical algorithms for principal component analysis and supervised clustering. CoRR abs/1811.00414 (2018) - [i2]András Gilyén, Seth Lloyd, Ewin Tang:
Quantum-inspired low-rank stochastic regression with logarithmic dependence on the dimension. CoRR abs/1811.04909 (2018) - [i1]Ewin Tang:
A quantum-inspired classical algorithm for recommendation systems. Electron. Colloquium Comput. Complex. TR18 (2018)
Coauthor Index
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