Thomas A. Searles

According to our database, Thomas A. Searles authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles.

Xinzhu Liang, Joseph M. Lukens, Sanjaya Lohani, Brian T. Kirby, Thomas A. Searles, Xin Qiu, Kody J. H. Law

CoRR, May, 2025

Distributing Polarization Entanglement Through a High-Speed Fiber-Optic Switch.

Atiyya A. Davis, Brian T. Kirby, Thomas A. Searles, Daniel E. Jones

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

2024

SMC Is All You Need: Parallel Strong Scaling.

Xinzhu Liang, Sanjaya Lohani, Joseph M. Lukens, Brian T. Kirby, Thomas A. Searles, Kody J. H. Law

CoRR, 2024

2023

Deep learning for enhanced free-space optical communications.

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

Mach. Learn. Sci. Technol., December, 2023

Dimension-adaptive machine learning-based quantum state reconstruction.

Sanjaya Lohani, Sangita Regmi, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby

Quantum Mach. Intell., 2023

2022

Data-centric machine learning in quantum information science.

Sanjaya Lohani, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby

Mach. Learn. Sci. Technol., December, 2022

Building a Quantum Engineering Undergraduate Program.

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

IEEE Trans. Educ., 2022

Demonstration of machine-learning-enhanced Bayesian quantum state estimation.

Sanjaya Lohani, Joseph M. Lukens, Atiyya A. Davis, Amirali Khannejad, Sangita Regmi, Daniel E. Jones, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby

CoRR, 2022

2021

Improving application performance with biased distributions of quantum states.

Sanjaya Lohani, Joseph M. Lukens, Daniel E. Jones, Thomas A. Searles, Ryan T. Glasser, Brian T. Kirby

CoRR, 2021

IBM-HBCU Quantum Center: A model for industry-academic partnerships to advance the creation of a diverse, quantum aware workforce.

Kayla B. Lee, Thomas A. Searles

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021

2020

On the experimental feasibility of quantum state reconstruction via machine learning.

Sanjaya Lohani, Thomas A. Searles, Brian T. Kirby, Ryan T. Glasser

CoRR, 2020