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Sampling-based sublinear low-rank matrix arithmetic framework for
  dequantizing quantum machine learning

Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning

14 October 2019
Nai-Hui Chia
A. Gilyén
Tongyang Li
Han-Hsuan Lin
Ewin Tang
Cong Wang
ArXivPDFHTML

Papers citing "Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning"

42 / 42 papers shown
Title
An Exponential Separation Between Quantum and Quantum-Inspired Classical Algorithms for Linear Systems
An Exponential Separation Between Quantum and Quantum-Inspired Classical Algorithms for Linear Systems
Allan Grønlund
Kasper Green Larsen
21
0
0
04 Nov 2024
When can classical neural networks represent quantum states?
When can classical neural networks represent quantum states?
Tai-Hsuan Yang
Mehdi Soleimanifar
Thiago Bergamaschi
J. Preskill
39
3
0
30 Oct 2024
A Catalyst Framework for the Quantum Linear System Problem via the
  Proximal Point Algorithm
A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm
J. Kim
Nai-Hui Chia
Anastasios Kyrillidis
18
0
0
19 Jun 2024
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
18
1
0
02 May 2024
A comprehensive review of Quantum Machine Learning: from NISQ to Fault
  Tolerance
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance
Yunfei Wang
Junyu Liu
38
27
0
21 Jan 2024
Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups
  without Data-Dependent Parameters
Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups without Data-Dependent Parameters
Zhao Song
Junze Yin
Ruizhe Zhang
16
8
0
24 Nov 2023
Fast Quantum Algorithm for Attention Computation
Fast Quantum Algorithm for Attention Computation
Yeqi Gao
Zhao Song
Xin Yang
Ruizhe Zhang
LRM
31
20
0
16 Jul 2023
A unifying framework for differentially private quantum algorithms
A unifying framework for differentially private quantum algorithms
Armando Angrisani
Mina Doosti
E. Kashefi
FedML
33
9
0
10 Jul 2023
On the Role of Entanglement and Statistics in Learning
On the Role of Entanglement and Statistics in Learning
Srinivasan Arunachalam
Vojtěch Havlíček
Louis Schatzki
30
7
0
05 Jun 2023
Near-Optimal Quantum Coreset Construction Algorithms for Clustering
Near-Optimal Quantum Coreset Construction Algorithms for Clustering
Yecheng Xue
Xiaoyu Chen
Tongyang Li
S. Jiang
11
2
0
05 Jun 2023
A survey on the complexity of learning quantum states
A survey on the complexity of learning quantum states
Anurag Anshu
Srinivasan Arunachalam
34
66
0
31 May 2023
Quantum Gaussian Process Regression for Bayesian Optimization
Quantum Gaussian Process Regression for Bayesian Optimization
Frederic Rapp
Marco Roth
GP
26
19
0
25 Apr 2023
Robust Dequantization of the Quantum Singular value Transformation and
  Quantum Machine Learning Algorithms
Robust Dequantization of the Quantum Singular value Transformation and Quantum Machine Learning Algorithms
Franccois Le Gall
16
3
0
11 Apr 2023
Challenges and Opportunities in Quantum Machine Learning
Challenges and Opportunities in Quantum Machine Learning
M. Cerezo
Guillaume Verdon
Hsin-Yuan Huang
L. Cincio
Patrick J. Coles
VLM
24
406
0
16 Mar 2023
Quantum policy gradient algorithms
Quantum policy gradient algorithms
Sofiene Jerbi
A. Cornelissen
M. Ozols
Vedran Dunjko
29
11
0
19 Dec 2022
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
29
13
0
19 Sep 2022
Quantum Semi-Supervised Kernel Learning
Quantum Semi-Supervised Kernel Learning
Seyran Saeedi
Ali (Aliakbar) Panahi
Tom Arodz
SSL
19
5
0
22 Apr 2022
Differential Privacy Amplification in Quantum and Quantum-inspired
  Algorithms
Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms
Armando Angrisani
Mina Doosti
E. Kashefi
24
12
0
07 Mar 2022
The complexity of quantum support vector machines
The complexity of quantum support vector machines
Gian Gentinetta
Arne Thomsen
David Sutter
Stefan Woerner
47
41
0
28 Feb 2022
An Introduction to Quantum Computing for Statisticians and Data
  Scientists
An Introduction to Quantum Computing for Statisticians and Data Scientists
A. Lopatnikova
Minh-Ngoc Tran
Scott A. Sisson
23
3
0
13 Dec 2021
Revisiting dequantization and quantum advantage in learning tasks
Revisiting dequantization and quantum advantage in learning tasks
Jordan S. Cotler
Hsin-Yuan Huang
Jarrod R. McClean
48
31
0
01 Dec 2021
Quantum advantage in learning from experiments
Quantum advantage in learning from experiments
Hsin-Yuan Huang
Michael Broughton
Jordan S. Cotler
Sitan Chen
Jingkai Li
...
Hartmut Neven
Ryan Babbush
R. Kueng
J. Preskill
Jarrod R. McClean
13
464
0
01 Dec 2021
Limitations of the Macaulay matrix approach for using the HHL algorithm
  to solve multivariate polynomial systems
Limitations of the Macaulay matrix approach for using the HHL algorithm to solve multivariate polynomial systems
Jintai Ding
Vlad Gheorghiu
András Gilyén
Sean Hallgren
Jianqiang Li
20
8
0
31 Oct 2021
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
Exponential Error Convergence in Data Classification with Optimized
  Random Features: Acceleration by Quantum Machine Learning
Exponential Error Convergence in Data Classification with Optimized Random Features: Acceleration by Quantum Machine Learning
H. Yamasaki
Sho Sonoda
33
6
0
16 Jun 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
23
8
0
19 Apr 2021
Quantum Inspired Adaptive Boosting
Quantum Inspired Adaptive Boosting
Balint Daroczy
K. Friedl
László Kabódi
Attila Pereszlényi
Dániel Szabó
22
0
0
01 Feb 2021
Grammar-aware sentence classification on quantum computers
Grammar-aware sentence classification on quantum computers
K. Meichanetzidis
Alexis Toumi
Giovanni de Felice
B. Coecke
GNN
25
28
0
07 Dec 2020
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
Nadiia Chepurko
K. Clarkson
L. Horesh
Honghao Lin
David P. Woodruff
24
24
0
09 Nov 2020
Quantum-Inspired Classical Algorithm for Principal Component Regression
Quantum-Inspired Classical Algorithm for Principal Component Regression
Daniel T. Chen
Yekun Xu
Betis Baheri
Chuan Bi
Y. Mao
Qiang Quan
Shuai Xu
13
4
0
16 Oct 2020
A rigorous and robust quantum speed-up in supervised machine learning
A rigorous and robust quantum speed-up in supervised machine learning
Yunchao Liu
Srinivasan Arunachalam
K. Temme
36
528
0
05 Oct 2020
Quantum algorithms for escaping from saddle points
Quantum algorithms for escaping from saddle points
Chenyi Zhang
Jiaqi Leng
Tongyang Li
16
19
0
20 Jul 2020
Towards quantum advantage via topological data analysis
Towards quantum advantage via topological data analysis
Casper Gyurik
Chris Cade
Vedran Dunjko
19
43
0
06 May 2020
Learning with Optimized Random Features: Exponential Speedup by Quantum
  Machine Learning without Sparsity and Low-Rank Assumptions
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions
H. Yamasaki
Sathyawageeswar Subramanian
Sho Sonoda
M. Koashi
36
17
0
22 Apr 2020
Quantum statistical query learning
Quantum statistical query learning
Srinivasan Arunachalam
A. Grilo
Henry Yuen
17
32
0
19 Feb 2020
Quantum Boosting
Quantum Boosting
Srinivasan Arunachalam
Reevu Maity
14
25
0
12 Feb 2020
Statistical Limits of Supervised Quantum Learning
Statistical Limits of Supervised Quantum Learning
C. Ciliberto
Andrea Rocchetto
Alessandro Rudi
Leonard Wossnig
16
4
0
28 Jan 2020
A Quantum-inspired Algorithm for General Minimum Conical Hull Problems
A Quantum-inspired Algorithm for General Minimum Conical Hull Problems
Yuxuan Du
Min-hsiu Hsieh
Tongliang Liu
Dacheng Tao
19
14
0
16 Jul 2019
Quantum Sparse Support Vector Machines
Quantum Sparse Support Vector Machines
Seyran Saeedi
Tom Arodz
21
19
0
05 Feb 2019
q-means: A quantum algorithm for unsupervised machine learning
q-means: A quantum algorithm for unsupervised machine learning
Iordanis Kerenidis
Jonas Landman
Alessandro Luongo
A. Prakash
14
215
0
10 Dec 2018
Quantum principal component analysis only achieves an exponential
  speedup because of its state preparation assumptions
Quantum principal component analysis only achieves an exponential speedup because of its state preparation assumptions
Ewin Tang
14
106
0
31 Oct 2018
Approximating Hamiltonian dynamics with the Nyström method
Approximating Hamiltonian dynamics with the Nyström method
Alessandro Rudi
Leonard Wossnig
C. Ciliberto
Andrea Rocchetto
Massimiliano Pontil
Simone Severini
13
10
0
06 Apr 2018
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