94 citations
- Georgia Institute of TechnologyUS33 papers
- Oak Ridge National LaboratoryUS4 papers
- National Institute of Standards and TechnologyUS3 papers
- ToposUS2 papers
- Topos Institute2 papers
- United States Naval Research LaboratoryUS2 papers
- University of FloridaUS2 papers
- Ames Research CenterUS1 paper
- Ansys (United States)US1 paper
- Carnegie Mellon UniversityUS1 paper
- Cornell UniversityUS1 paper
- Fordham UniversityUS1 paper
7 papers · 1 filter
Modelling noise in global Molmer-Sorensen interactions applied to quantum approximate optimization
Phillip C. Lotshaw, Kevin D. Battles, Bryan Gard +3
Many-qubit Mølmer-Sørensen (MS) interactions applied to trapped ions offer unique capabilities for quantum information processing, with applications including quantum simulation an…
Modeling Line Broadening and Distortion Due to Spatially Non-Uniform Fields in Rydberg Electrometry
Andrew P. Rotunno, Amy K. Robinson, Samuel Berweger +4
We present a model for calculating broadened Autler-Townes spectra when probing ac electric field magnitudes by use of Rydberg atom electromagnetically-induced transparency. This m…
Concurrent Neural Tree and Data Preprocessing AutoML for Image Classification
Anish Thite, Mohan Dodda, Pulak Agarwal +1
Deep Neural Networks (DNN's) are a widely-used solution for a variety of machine learning problems. However, it is often necessary to invest a significant amount of a data scientis…
Evolving SimGANs to Improve Abnormal Electrocardiogram Classification
Gabriel Wang, Anish Thite, Rodd Talebi +3
Machine Learning models are used in a wide variety of domains. However, machine learning methods often require a large amount of data in order to be successful. This is especially…
Very-high- and ultrahigh- frequency electric field detection using high angular momentum Rydberg states
Roger C. Brown, Baran Kayim, Michael A. Viray +3
We demonstrate resonant detection of rf electric fields from 240 MHz to 900 MHz (very-high-frequency (VHF) to ultra-high-frequency (UHF)) using electromagnetically induced transpar…
A diagrammatic view of differential equations in physics
Evan Patterson, Andrew Baas, Timothy Hosgood +1
Presenting systems of differential equations in the form of diagrams has become common in certain parts of physics, especially electromagnetism and computational physics. In this w…