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Universal low-rank matrix recovery from Pauli measurements

Universal low-rank matrix recovery from Pauli measurements

14 March 2011
Yi-Kai Liu
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Papers citing "Universal low-rank matrix recovery from Pauli measurements"

19 / 19 papers shown
Title
A General Algorithm for Solving Rank-one Matrix Sensing
A General Algorithm for Solving Rank-one Matrix Sensing
Lianke Qin
Zhao Song
Ruizhe Zhang
33
15
0
22 Mar 2023
Learning Transition Operators From Sparse Space-Time Samples
Learning Transition Operators From Sparse Space-Time Samples
C. Kümmerle
Mauro Maggioni
Sui Tang
26
1
0
01 Dec 2022
A Validation Approach to Over-parameterized Matrix and Image Recovery
A Validation Approach to Over-parameterized Matrix and Image Recovery
Lijun Ding
Zhen Qin
Liwei Jiang
Jinxin Zhou
Zhihui Zhu
48
13
0
21 Sep 2022
Local Stochastic Factored Gradient Descent for Distributed Quantum State
  Tomography
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography
J. Kim
Taha Toghani
César A. Uribe
Anastasios Kyrillidis
35
3
0
22 Mar 2022
projUNN: efficient method for training deep networks with unitary
  matrices
projUNN: efficient method for training deep networks with unitary matrices
B. Kiani
Randall Balestriero
Yann LeCun
S. Lloyd
54
32
0
10 Mar 2022
Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets
Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets
T. Roddenberry
Santiago Segarra
Anastasios Kyrillidis
24
0
0
17 Dec 2020
On the convex geometry of blind deconvolution and matrix completion
On the convex geometry of blind deconvolution and matrix completion
Felix Krahmer
Dominik Stöger
21
18
0
28 Feb 2019
A comparative study of estimation methods in quantum tomography
A comparative study of estimation methods in quantum tomography
A. Acharya
T. Kypraios
M. Guţă
11
27
0
23 Jan 2019
Provably convergent acceleration in factored gradient descent with
  applications in matrix sensing
Provably convergent acceleration in factored gradient descent with applications in matrix sensing
Tayo Ajayi
David Mildebrath
Anastasios Kyrillidis
Shashanka Ubaru
Georgios Kollias
K. Bouchard
23
1
0
01 Jun 2018
Generalized notions of sparsity and restricted isometry property. Part
  I: A unified framework
Generalized notions of sparsity and restricted isometry property. Part I: A unified framework
Marius Junge
Kiryung Lee
16
15
0
28 Jun 2017
Estimation of low rank density matrices by Pauli measurements
Estimation of low rank density matrices by Pauli measurements
Dong Xia
34
3
0
16 Oct 2016
Non-square matrix sensing without spurious local minima via the
  Burer-Monteiro approach
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach
Dohyung Park
Anastasios Kyrillidis
C. Caramanis
Sujay Sanghavi
23
179
0
12 Sep 2016
Phase Retrieval Using Unitary 2-Designs
Phase Retrieval Using Unitary 2-Designs
S. Kimmel
Yi-Kai Liu
10
25
0
29 Oct 2015
Dropping Convexity for Faster Semi-definite Optimization
Dropping Convexity for Faster Semi-definite Optimization
Srinadh Bhojanapalli
Anastasios Kyrillidis
Sujay Sanghavi
27
172
0
14 Sep 2015
Optimal Estimation of Low Rank Density Matrices
Optimal Estimation of Low Rank Density Matrices
V. Koltchinskii
Dong Xia
29
41
0
17 Jul 2015
Uncertainty Quantification for Matrix Compressed Sensing and Quantum
  Tomography Problems
Uncertainty Quantification for Matrix Compressed Sensing and Quantum Tomography Problems
Alexandra Carpentier
Jens Eisert
David Gross
Richard Nickl
12
19
0
13 Apr 2015
Universal Matrix Completion
Universal Matrix Completion
Srinadh Bhojanapalli
Prateek Jain
41
102
0
10 Feb 2014
A Counterexample for the Validity of Using Nuclear Norm as a Convex
  Surrogate of Rank
A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank
Hongyang R. Zhang
Zhouchen Lin
Chao Zhang
43
30
0
23 Apr 2013
Sparse projections onto the simplex
Sparse projections onto the simplex
Anastasios Kyrillidis
Stephen Becker
V. Cevher
Christoph Koch
44
93
0
07 Jun 2012
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