On the experimental feasibility of quantum state reconstruction via machine learning. - Sanjaya Lohani; Thomas A. Searles; Brian T. Kirby; Ryan T. Glasser (CoRR, 2020)

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 (QCE, 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)

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)

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; et al. (IEEE Trans. Educ., 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., 2022)

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)

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., 2023)

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)

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, 2025)