230 citations · 426 across the 25 of their papers we have counts for
27 papers
Structured leakage in OAM-encoded qubits revealed by distributed quantum feature extraction
Yayu Mo, Nazifa Rumman, Sanjeev Shapkota +2
Orbital angular momentum (OAM) modes have emerged as an important platform for high-dimensional quantum communication but remain vulnerable to environmental noise and channel imper…
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles
Xinzhu Liang, Joseph M. Lukens, Sanjaya Lohani +4
This work introduces a new method designed for Bayesian deep learning called scalable Bayesian Monte Carlo (SBMC). The method is comprised of a model and an algorithm. The model in…
Outcomes from a Workshop on a National Center for Quantum Education
Edwin Barnes, Michael B. Bennett, Alexandra Boltasseva +35
In response to numerous programs seeking to advance quantum education and workforce development in the United States, experts from academia, industry, government, and professional…
Time-correlation Transduction in Strong-field Quantum Electrodynamics
Zairui Li, Wesley Sims, Mirali Seyed Shariatdoust +3
Recent developments in high-power ultrafast optical technology and emerging theoretical frameworks in strong-field quantum electrodynamics (SF-QED) are unveiling nuanced differenti…
Comparison of parallel SMC and MCMC for Bayesian deep learning
Xinzhu Liang, Joseph M. Lukens, Sanjaya Lohani +4
This work systematically compares parallel implementations of consistent (asymptotically unbiased) Bayesian deep learning algorithms: sequential Monte Carlo sampler (SMC$_\parallel…
Education for a Future in Crisis: Developing a Humanities-Informed STEM Curriculum
Ethan Lee, Ariel Nicole Hart, Thomas A. Searles +5
In the popular imagination, science and technology are often seen as fields of knowledge production critical to social progress and a cooperative future. This optimistic portrayal…