Sanjaya Lohani

18 papers Journal 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles.
CoRR
Xinzhu Liang, Joseph M. Lukens, Sanjaya Lohani, Brian T. Kirby, Thomas A. Searles, Xin Qiu, Kody J. H. Law
2024 J jnl
SMC Is All You Need: Parallel Strong Scaling.
CoRR
Xinzhu Liang, Sanjaya Lohani, Joseph M. Lukens, Brian T. Kirby, Thomas A. Searles, Kody J. H. Law
2023 J jnl
Deep learning for enhanced free-space optical communications.
Mach. Learn. Sci. Technol.
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
2023 J jnl
Dimension-adaptive machine learning-based quantum state reconstruction.
Quantum Mach. Intell.
Sanjaya Lohani, Sangita Regmi, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
2022 J jnl
Data-Centric Machine Learning in Quantum Information Science.
CoRR
Sanjaya Lohani, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
2022 J jnl
Data-centric machine learning in quantum information science.
Mach. Learn. Sci. Technol.
Sanjaya Lohani, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
2022 J jnl
Deep learning for enhanced free-space optical communications.
CoRR
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
2022 J jnl
Demonstration of machine-learning-enhanced Bayesian quantum state estimation.
CoRR
Sanjaya Lohani, Joseph M. Lukens, Atiyya A. Davis, Amirali Khannejad, Sangita Regmi, Daniel E. Jones, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
2022 J jnl
Dimension-adaptive machine-learning-based quantum state reconstruction.
CoRR
Sanjaya Lohani, Sangita Regmi, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
2021 J jnl
Improving application performance with biased distributions of quantum states.
CoRR
Sanjaya Lohani, Joseph M. Lukens, Daniel E. Jones, Thomas A. Searles, Ryan T. Glasser, Brian T. Kirby
2021 J jnl
Machine learning pipeline for quantum state estimation with incomplete measurements.
Mach. Learn. Sci. Technol.
Onur Danaci, Sanjaya Lohani, Brian T. Kirby, Ryan T. Glasser
2020 J jnl
Coherent optical communications enhanced by machine intelligence.
Mach. Learn. Sci. Technol.
Sanjaya Lohani, Ryan T. Glasser
2020 J jnl
Machine learning assisted quantum state estimation.
CoRR
Sanjaya Lohani, Brian T. Kirby, Michael Brodsky, Onur Danaci, Ryan T. Glasser
2020 J jnl
Machine learning assisted quantum state estimation.
Mach. Learn. Sci. Technol.
Sanjaya Lohani, Brian T. Kirby, Michael Brodsky, Onur Danaci, Ryan T. Glasser
2020 J jnl
On the experimental feasibility of quantum state reconstruction via machine learning.
CoRR
Sanjaya Lohani, Thomas A. Searles, Brian T. Kirby, Ryan T. Glasser
2019 J jnl
Coherent Optical Communications Enhanced by Machine Intelligence.
CoRR
Sanjaya Lohani, Ryan T. Glasser
2019 J jnl
Dispersion Characterization and Pulse Prediction with Machine Learning.
CoRR
Sanjaya Lohani, Erin M. Knutson, Wenlei Zhang, Ryan T. Glasser
2019 J jnl
Generative Machine Learning for Robust Free-Space Communication.
CoRR
Sanjaya Lohani, Ryan T. Glasser