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Machine learning pipeline for quantum state estimation with incomplete
  measurements

Machine learning pipeline for quantum state estimation with incomplete measurements

5 December 2020
Onur Danaci
Sanjaya Lohani
Brian T. Kirby
R. Glasser
ArXivPDFHTML

Papers citing "Machine learning pipeline for quantum state estimation with incomplete measurements"

8 / 8 papers shown
Title
Learning Informative Latent Representation for Quantum State Tomography
Learning Informative Latent Representation for Quantum State Tomography
Hailan Ma
Zhenhong Sun
Daoyi Dong
Dong Gong
50
1
0
08 Jan 2025
Tomography of Quantum States from Structured Measurements via quantum-aware transformer
Tomography of Quantum States from Structured Measurements via quantum-aware transformer
Hailan Ma
Zhenhong Sun
Daoyi Dong
Chunlin Chen
H. Rabitz
43
3
0
09 May 2023
Dimension-adaptive machine-learning-based quantum state reconstruction
Dimension-adaptive machine-learning-based quantum state reconstruction
Sanjaya Lohani
Sangita Regmi
J. Lukens
R. Glasser
T. Searles
Brian T. Kirby
43
6
0
11 May 2022
Deep learning of quantum entanglement from incomplete measurements
Deep learning of quantum entanglement from incomplete measurements
Dominik Koutný
L. Ginés
M. Moczała-Dusanowska
Sven Höfling
Christian Schneider
Ana Predojevic
M. Ježek
30
28
0
03 May 2022
Improving application performance with biased distributions of quantum
  states
Improving application performance with biased distributions of quantum states
Sanjaya Lohani
J. Lukens
Daniel E. Jones
T. Searles
R. Glasser
Brian T. Kirby
16
10
0
15 Jul 2021
On the experimental feasibility of quantum state reconstruction via
  machine learning
On the experimental feasibility of quantum state reconstruction via machine learning
Sanjaya Lohani
T. Searles
Brian T. Kirby
R. Glasser
25
17
0
17 Dec 2020
Machine learning assisted quantum state estimation
Machine learning assisted quantum state estimation
Sanjaya Lohani
Brian T. Kirby
M. Brodsky
Onur Danaci
R. Glasser
86
80
0
06 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,167
0
06 Jun 2015
1