Date of Award
12-2021
Document Type
Thesis
Degree Name
Master of Science in Computer Engineering
Department
Department of Electrical and Computer Engineering
First Advisor
Douglas D. Hodson, PhD
Abstract
Evaluating quantum networks is an expensive and time-consuming task that benefits from simulation. A potential improvement is to utilize GPUs, namely by leveraging NVIDIA's programming framework, CUDA. To avoid performance pitfalls of higher level languages and programming models such as the so called "two language problem," the Julia Programming Language provides the basis for the development effort. This research develops a two module prototype quantum network simulation framework using GPUs and Julia. Performance of the software is measured and compared against other languages such as MATLAB.
AFIT Designator
AFIT-ENG-MS-21-D-013
DTIC Accession Number
AD1157162
Recommended Citation
Tippit, Joseph B., "Approaches to Improve the Execution Time of a Quantum Network Simulation" (2021). Theses and Dissertations. 5103.
https://scholar.afit.edu/etd/5103