ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.04125
  4. Cited By
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra

Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra

9 November 2020
Nadiia Chepurko
K. Clarkson
L. Horesh
Honghao Lin
David P. Woodruff
ArXivPDFHTML

Papers citing "Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra"

6 / 6 papers shown
Title
Multivariate trace estimation using quantum state space linear algebra
Multivariate trace estimation using quantum state space linear algebra
Liron Mor Yosef
Shashanka Ubaru
L. Horesh
H. Avron
16
1
0
02 May 2024
Krylov Methods are (nearly) Optimal for Low-Rank Approximation
Krylov Methods are (nearly) Optimal for Low-Rank Approximation
Ainesh Bakshi
Shyam Narayanan
25
6
0
06 Apr 2023
Topological data analysis on noisy quantum computers
Topological data analysis on noisy quantum computers
I. Akhalwaya
Shashanka Ubaru
K. Clarkson
M. Squillante
Vishnu Jejjala
Yangfan He
Kugendran Naidoo
Vasileios Kalantzis
L. Horesh
19
13
0
19 Sep 2022
Low-Rank Approximation with $1/ε^{1/3}$ Matrix-Vector Products
Low-Rank Approximation with 1/ε1/31/ε^{1/3}1/ε1/3 Matrix-Vector Products
Ainesh Bakshi
K. Clarkson
David P. Woodruff
13
15
0
10 Feb 2022
Quantum Topological Data Analysis with Linear Depth and Exponential
  Speedup
Quantum Topological Data Analysis with Linear Depth and Exponential Speedup
Shashanka Ubaru
I. Akhalwaya
M. Squillante
K. Clarkson
L. Horesh
20
26
0
05 Aug 2021
Quantum algorithms for SVD-based data representation and analysis
Quantum algorithms for SVD-based data representation and analysis
Armando Bellante
Alessandro Luongo
S. Zanero
13
8
0
19 Apr 2021
1