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Approaches to Improve the Execution Time of a Quantum Network Simulation
[Technical Report, Master's Thesis]
LABORATORY FOR TELECOMMUNICATIONS SCIENCES COLLEGE PARK MD
Pagination or Media Count:
Evaluating quantum networks is an expensive and time-consuming task that benefits from simulation. A potential improvement is to utilize GPUs, namely by leveraging NVIDIAs 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.
[A, Approved For Public Release]