Christopher Timms

I have a doctorate from The University of Texas at Dallas. My expertise is in constructing simulations of quantum systems and have developed a quantum computing simulator on my home device. I love exploring what can be done with quantum computing.

Dallas, Texas, United States of America

Research Interests

Quantum Computing

Quantum Simulation

Machine Learning

Stochastic Gradient Descent

MATLAB

Python

GitHub

Scientific Presentations

About

Christopher Timms is a highly skilled computational physicist with a Ph.D in Computational Physics from The University of Texas at Dallas. He also holds a Master of Science in computational physics from the same institution. With a strong background in physics and computer science, Christopher has a deep understanding of how to use computational methods to solve complex problems in physics. He has experience working as a Technical Writer/Developer at Amazon Braket, where he was responsible for creating technical documents and developing software tools for quantum computing. Prior to that, he worked as a Research Assistant at The University of Texas at Dallas, where he conducted research in computational physics and published several papers in peer-reviewed journals. Christopher's extensive education and experience make him a valuable asset in any team working on challenging computational physics projects.

Publications

Education

The University of Texas at Dallas

Ph.D, Computational Physics / August, 2021

Richardson, Texas, United States of America

The University of Texas at Dallas

M.S., Computational Physics / August, 2018

Richardson, Texas, United States of America

Experience

Amazon Braket

Technical Writer/Developer / February, 2022 — June, 2023

Updated the developer guide to inform customers on how to use the QPU's and simulators. Wrote quantum computing code that recreated various quantum algorithms.

The University of Texas at Dallas

Research Assistant / January, 2018 — August, 2022

Constructed simulations of a Floquet topological system known as the Anomalous Floquet-Anderson Insulator as well as simulations of NV-center qubits being used as quantum sensors.

Research Assistant / August, 2016 — May, 2018

Used machine learning along with Landsat data to forecast the pollen levels in Tulsa, Oklahoma.

Links & Social Media

LinkedIn page

List of publications

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