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Ryan T. Glasser
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2020 – today
- 2024
- [j7]Nicholas J. Savino
, Jacob Leamer
, Ravi Saripalli
, Wenlei Zhang
, Denys I. Bondar
, Ryan T. Glasser
:
Robust Free-Space Optical Communication Utilizing Polarization for the Advancement of Quantum Communication. Entropy 26(4): 309 (2024) - 2023
- [j6]Manon P. Bart
, Nicholas J. Savino
, Paras Regmi, Lior Cohen, Haleh Safavi, Harry C. Shaw
, Sanjaya Lohani
, Thomas A. Searles, Brian T. Kirby
, Hwang Lee, Ryan T. Glasser
:
Deep learning for enhanced free-space optical communications. Mach. Learn. Sci. Technol. 4(4): 45046 (2023) - [j5]Sanjaya Lohani
, Sangita Regmi
, Joseph M. Lukens
, Ryan T. Glasser, Thomas A. Searles
, Brian T. Kirby
:
Dimension-adaptive machine learning-based quantum state reconstruction. Quantum Mach. Intell. 5(1): 1-10 (2023) - 2022
- [j4]Sanjaya Lohani
, Joseph M. Lukens
, Ryan T. Glasser, Thomas A. Searles
, Brian T. Kirby
:
Data-centric machine learning in quantum information science. Mach. Learn. Sci. Technol. 3(4): 4 (2022) - [i10]Sanjaya Lohani, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby:
Data-Centric Machine Learning in Quantum Information Science. CoRR abs/2201.09134 (2022) - [i9]Sanjaya Lohani, Sangita Regmi
, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby:
Dimension-adaptive machine-learning-based quantum state reconstruction. CoRR abs/2205.05804 (2022) - [i8]Manon P. Bart, Nicholas J. Savino, Paras Regmi, Lior Cohen, Haleh Safavi, Harry C. Shaw, Sanjaya Lohani, Thomas A. Searles, Brian T. Kirby, Hwang Lee, Ryan T. Glasser:
Deep learning for enhanced free-space optical communications. CoRR abs/2208.07712 (2022) - [i7]Sanjaya Lohani, Joseph M. Lukens, Atiyya A. Davis, Amirali Khannejad, Sangita Regmi, Daniel E. Jones, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby:
Demonstration of machine-learning-enhanced Bayesian quantum state estimation. CoRR abs/2212.08032 (2022) - 2021
- [j3]Onur Danaci
, Sanjaya Lohani
, Brian T. Kirby, Ryan T. Glasser:
Machine learning pipeline for quantum state estimation with incomplete measurements. Mach. Learn. Sci. Technol. 2(3): 35014 (2021) - [i6]Sanjaya Lohani, Joseph M. Lukens, Daniel E. Jones, Thomas A. Searles, Ryan T. Glasser, Brian T. Kirby:
Improving application performance with biased distributions of quantum states. CoRR abs/2107.07642 (2021) - 2020
- [j2]Sanjaya Lohani
, Ryan T. Glasser:
Coherent optical communications enhanced by machine intelligence. Mach. Learn. Sci. Technol. 1(3): 35006 (2020) - [j1]Sanjaya Lohani
, Brian T. Kirby, Michael Brodsky, Onur Danaci, Ryan T. Glasser:
Machine learning assisted quantum state estimation. Mach. Learn. Sci. Technol. 1(3): 35007 (2020) - [i5]Sanjaya Lohani, Brian T. Kirby, Michael Brodsky, Onur Danaci, Ryan T. Glasser:
Machine learning assisted quantum state estimation. CoRR abs/2003.03441 (2020) - [i4]Sanjaya Lohani, Thomas A. Searles, Brian T. Kirby, Ryan T. Glasser:
On the experimental feasibility of quantum state reconstruction via machine learning. CoRR abs/2012.09432 (2020)
2010 – 2019
- 2019
- [i3]Sanjaya Lohani
, Ryan T. Glasser:
Generative Machine Learning for Robust Free-Space Communication. CoRR abs/1909.02249 (2019) - [i2]Sanjaya Lohani
, Ryan T. Glasser:
Coherent Optical Communications Enhanced by Machine Intelligence. CoRR abs/1909.02525 (2019) - [i1]Sanjaya Lohani, Erin M. Knutson, Wenlei Zhang, Ryan T. Glasser:
Dispersion Characterization and Pulse Prediction with Machine Learning. CoRR abs/1909.02526 (2019)
Coauthor Index
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last updated on 2024-05-19 01:03 CEST by the dblp team
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