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Sanjaya Lohani
Sanjaya Lohani
Assistant Professor, Electrical & Computer Engineering, SMU
Verified email at smu.edu - Homepage
Title
Cited by
Cited by
Year
Report on the sixth blind test of organic crystal structure prediction methods
AM Reilly, RI Cooper, CS Adjiman, S Bhattacharya, AD Boese, ...
Structural Science 72 (4), 439-459, 2016
7032016
Turbulence correction with artificial neural networks
S Lohani, RT Glasser
Optics letters 43 (11), 2611-2614, 2018
1682018
Machine learning assisted quantum state estimation
S Lohani, BT Kirby, M Brodsky, O Danaci, RT Glasser
Machine Learning: Science and Technology 1 (3), 035007, 2020
1332020
On the use of deep neural networks in optical communications
S Lohani, EM Knutson, M O’Donnell, SD Huver, RT Glasser
Applied optics 57 (15), 4180-4190, 2018
1152018
Deep learning as a tool to distinguish between high orbital angular momentum optical modes
EM Knutson, S Lohani, O Danaci, SD Huver, RT Glasser
Optics and Photonics for Information Processing X 9970, 236-242, 2016
812016
Generative machine learning for robust free-space communication
S Lohani, EM Knutson, RT Glasser
Communications Physics 3 (1), 177, 2020
502020
Spatial mode correction of single photons using machine learning
N Bhusal, S Lohani, C You, M Hong, J Fabre, P Zhao, EM Knutson, ...
Advanced Quantum Technologies 4 (3), 2000103, 2021
412021
Machine learning pipeline for quantum state estimation with incomplete measurements
O Danaci, S Lohani, BT Kirby, RT Glasser
Machine Learning: Science and Technology 2 (3), 035014, 2021
402021
On the Experimental Feasibility of Quantum State Reconstruction via Machine Learning
S Lohani, T Searles, B Kirby, R Glasser
IEEE Transaction of Quantum Engineering 2, 1-10, 2021
372021
Deep learning for enhanced free-space optical communications
MP Bart, NJ Savino, P Regmi, L Cohen, H Safavi, HC Shaw, S Lohani, ...
Machine Learning: Science and Technology 4 (4), 045046, 2023
292023
Data-centric machine learning in quantum information science
S Lohani, JM Lukens, RT Glasser, TA Searles, BT Kirby
Machine Learning: Science and Technology 3 (4), 04LT01, 2022
232022
Improving application performance with biased distributions of quantum states
S Lohani, JM Lukens, DE Jones, TA Searles, RT Glasser, BT Kirby
Physical Review Research 3 (4), 043145, 2021
192021
Coherent optical communications enhanced by machine intelligence
S Lohani, RT Glasser
Machine Learning: Science and Technology 1 (3), 035006, 2020
172020
Dispersion characterization and pulse prediction with machine learning
S Lohani, EM Knutson, W Zhang, RT Glasser
OSA Continuum 2 (12), 3438-3445, 2019
162019
Demonstration of machine-learning-enhanced Bayesian quantum state estimation
S Lohani, JM Lukens, AA Davis, A Khannejad, S Regmi, DE Jones, ...
New Journal of Physics 25 (8), 083009, 2023
142023
Photonic Crystal Cavity IQ Modulators in Thin-Film Lithium Niobate
H Larocque, DLP Vitullo, A Sludds, H Sattari, I Christen, G Choong, ...
ACS Photonics 11 (9), 3860-3869, 2024
122024
This article is licensed under a Creative Commons Attribution 3.0 Unported Licence
AM Reilly, RI Cooper, CS Adjiman, S Bhattacharya, AD Boese, ...
P. Singh, IJ Sugden, K. Szalewicz, CR Taylor, A. Tkatchenko, ME Tuckerman, F …, 2016
122016
Dimension-adaptive machine learning-based quantum state reconstruction
S Lohani, S Regmi, JM Lukens, RT Glasser, TA Searles, BT Kirby
Quantum Machine Intelligence 5 (1), 1, 2023
102023
Deep learning for eavesdropper detection in free-space optical ON-OFF keying
NJ Savino, S Lohani, RT Glasser
Optics Continuum 1 (12), 2416-2425, 2022
82022
Free-space optical ON-OFF keying communications with deep learning
S Lohani, NJ Savino, RT Glasser
Frontiers in Optics, FTh5E. 4, 2020
82020
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Articles 1–20