Ryan T. Glasser

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

State Space Model

State Estimation

Machine Intelligence

Extended Kalman Filter

Top Venues

Mach. Learn. Sci. Technol.

Quantum Mach. Intell.

Publications

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) (2024)
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) (2023)
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) (2023)
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 (2022)
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 (2022)
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) (2022)
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 (2022)
Sanjaya Lohani, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
Data-Centric Machine Learning in Quantum Information Science. CoRR (2022)
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 (2021)
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) (2021)
Sanjaya Lohani, Brian T. Kirby, Michael Brodsky, Onur Danaci, Ryan T. Glasser
Machine learning assisted quantum state estimation. Mach. Learn. Sci. Technol. 1 (3) (2020)
Sanjaya Lohani, Ryan T. Glasser
Coherent optical communications enhanced by machine intelligence. Mach. Learn. Sci. Technol. 1 (3) (2020)
Sanjaya Lohani, Thomas A. Searles, Brian T. Kirby, Ryan T. Glasser
On the experimental feasibility of quantum state reconstruction via machine learning. CoRR (2020)
Sanjaya Lohani, Brian T. Kirby, Michael Brodsky, Onur Danaci, Ryan T. Glasser
Machine learning assisted quantum state estimation. CoRR (2020)
Sanjaya Lohani, Erin M. Knutson, Wenlei Zhang, Ryan T. Glasser
Dispersion Characterization and Pulse Prediction with Machine Learning. CoRR (2019)
Sanjaya Lohani, Ryan T. Glasser
Generative Machine Learning for Robust Free-Space Communication. CoRR (2019)
Sanjaya Lohani, Ryan T. Glasser
Coherent Optical Communications Enhanced by Machine Intelligence. CoRR (2019)