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Changpeng Shao
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2020 – today
- 2024
- [j8]Ashley Montanaro
, Changpeng Shao
:
Quantum Communication Complexity of Linear Regression. ACM Trans. Comput. Theory 16(1): 1:1-1:30 (2024) - [c4]Ashley Montanaro
, Changpeng Shao
:
Quantum and Classical Query Complexities of Functions of Matrices. STOC 2024: 573-584 - [i15]Nikhil S. Mande, Changpeng Shao:
Lower bounds for quantum-inspired classical algorithms via communication complexity. CoRR abs/2402.15686 (2024) - [i14]Yuxin Zhang, Changpeng Shao:
Quantum spectral method for gradient and Hessian estimation. CoRR abs/2407.03833 (2024) - [i13]Changpeng Shao:
Reflective block Kaczmarz algorithms for least squares. CoRR abs/2407.19226 (2024) - 2023
- [j7]Changpeng Shao:
A Deterministic Kaczmarz Algorithm for Solving Linear Systems. SIAM J. Matrix Anal. Appl. 44(1): 212-239 (2023) - [i12]Changpeng Shao:
An improved quantum algorithm for low-rank rigid linear regressions with vector solution outputs. CoRR abs/2301.06107 (2023) - [i11]Ashley Montanaro, Changpeng Shao:
Quantum and classical query complexities of functions of matrices. CoRR abs/2311.06999 (2023) - 2022
- [c3]Ashley Montanaro, Changpeng Shao:
Quantum Algorithms for Learning a Hidden Graph. TQC 2022: 1:1-1:22 - [i10]Ashley Montanaro, Changpeng Shao:
Quantum communication complexity of linear regression. CoRR abs/2210.01601 (2022) - 2021
- [j6]Dong An, Noah Linden, Jin-Peng Liu, Ashley Montanaro
, Changpeng Shao, Jiasu Wang:
Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance. Quantum 5: 481 (2021) - [i9]Changpeng Shao, Ashley Montanaro:
Faster quantum-inspired algorithms for solving linear systems. CoRR abs/2103.10309 (2021) - [i8]Changpeng Shao:
A deterministic Kaczmarz algorithm for solving linear systems. CoRR abs/2105.07736 (2021) - 2020
- [j5]Changpeng Shao
:
A quantum model of feed-forward neural networks with unitary learning algorithms. Quantum Inf. Process. 19(3): 102 (2020) - [j4]Changpeng Shao, Hua Xiang
:
Quantum regularized least squares solver with parameter estimate. Quantum Inf. Process. 19(4): 113 (2020) - [i7]Changpeng Shao, Jin-Peng Liu:
Quantum algorithms for the polynomial eigenvalue problems. CoRR abs/2010.15027 (2020) - [i6]Alessandro Luongo, Changpeng Shao:
Quantum algorithms for spectral sums. CoRR abs/2011.06475 (2020) - [i5]Ashley Montanaro, Changpeng Shao:
Quantum algorithms for learning graphs and beyond. CoRR abs/2011.08611 (2020) - [i4]Dong An, Noah Linden, Jin-Peng Liu, Ashley Montanaro, Changpeng Shao, Jiasu Wang:
Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance. CoRR abs/2012.06283 (2020)
2010 – 2019
- 2019
- [j3]Changpeng Shao, Yang Li, Hongbo Li:
Quantum Algorithm Design: Techniques and Applications. J. Syst. Sci. Complex. 32(1): 375-452 (2019) - [j2]Changpeng Shao:
Quantum speedup of training radial basis function networks. Quantum Inf. Comput. 19(7&8): 609-625 (2019) - [i3]Changpeng Shao:
A simple approach to design quantum neural networks and its applications to kernel-learning methods. CoRR abs/1910.08798 (2019) - [i2]Changpeng Shao:
Computing eigenvalues of matrices in a quantum computer. CoRR abs/1912.08015 (2019) - 2018
- [c2]Changpeng Shao, Hongbo Li:
Fast Straightening Algorithm for Bracket Polynomials Based on Tableau Manipulations. ISSAC 2018: 367-374 - 2016
- [j1]Changpeng Shao, Hongbo Li, Lei Huang:
Challenging Theorem Provers with Mathematical Olympiad Problems in Solid Geometry. Math. Comput. Sci. 10(1): 75-96 (2016) - 2015
- [i1]Hongbo Li, Lei Huang, Changpeng Shao, Lei Dong:
Three-Dimensional Projective Geometry with Geometric Algebra. CoRR abs/1507.06634 (2015) - 2014
- [c1]Hongbo Li, Changpeng Shao, Lei Huang, Yue Liu:
Reduction among bracket polynomials. ISSAC 2014: 304-311
Coauthor Index
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last updated on 2024-08-25 20:07 CEST by the dblp team
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