37 citations · 38 across the 4 of their papers we have counts for
4 papers
Intro2QC: An Approachable Introduction to Quantum Computing for STEM Education in High Schools
Jaimie A. Greasley, Thomas E. Baker
In recent years, quantum computing has gained strong traction on the global stage. Pioneering developments in quantum engineering, algorithms and software reinforce the view that q…
Quantum algorithm for the gradient of a logarithm-determinant
Thomas E. Baker, Jaimie A. Greasley
The logarithm-determinant is a widely-present operation in many areas of physics and computer science. Derivatives of the logarithm-determinant compute physically relevant quantiti…
Exploring Supervised Machine Learning for Multi-Phase Identification and Quantification from Powder X-Ray Diffraction Spectra
Jaimie Greasley, Patrick Hosein
Powder X-ray diffraction analysis is a critical component of materials characterization methodologies. Discerning characteristic Bragg intensity peaks and assigning them to known c…
An Optimization-Based Supervised Learning Algorithm for PXRD Phase Fraction Estimation
Patrick Hosein, Jaimie Greasley
In powder diffraction data analysis, phase identification is the process of determining the crystalline phases in a sample using its characteristic Bragg peaks. For multiphasic spe…