Thomas A. Searles

13 papers Misc 1Journal 12
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
Building a Quantum Engineering Undergraduate Program.
IEEE Trans. Educ.
Abraham T. Asfaw, Alexandre Blais, Kenneth R. Brown, Jonathan Candelaria, Christopher Cantwell, Lincoln D. Carr, Joshua Combes, Dripto M. Debroy, John M. Donohue, Sophia E. Economou, Emily Edwards, Michael F. J. Fox, Steven M. Girvin, Alan Ho, Hilary M. Hurst, Zubin Jacob, Blake R. Johnson, Ezekiel Johnston-Halperin, Robert Joynt, Eliot Kapit, Judith Klein-Seetharaman, Martin Laforest, H. J. Lewandowski, Theresa W. Lynn, Corey Rae H. McRae, Celia Merzbacher, Spyridon Michalakis, Prineha Narang, William D. Oliver, Jens Palsberg, David P. Pappas, Michael G. Raymer, David J. Reilly, Mark Saffman, Thomas A. Searles, Jeffrey H. Shapiro, Chandralekha Singh
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 Misc conf
IBM-HBCU Quantum Center: A model for industry-academic partnerships to advance the creation of a diverse, quantum aware workforce.
QCE
Kayla B. Lee, Thomas A. Searles
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
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