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On the experimental feasibility of quantum state reconstruction via
  machine learning

On the experimental feasibility of quantum state reconstruction via machine learning

17 December 2020
Sanjaya Lohani
T. Searles
Brian T. Kirby
R. Glasser
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Papers citing "On the experimental feasibility of quantum state reconstruction via machine learning"

5 / 5 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
Empirical Sample Complexity of Neural Network Mixed State Reconstruction
Empirical Sample Complexity of Neural Network Mixed State Reconstruction
Haimeng Zhao
Giuseppe Carleo
F. Vicentini
36
11
0
04 Jul 2023
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
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
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