Date Approved

4-29-2021

Graduate Degree Type

Thesis

Degree Name

Computer Information Systems (M.S.)

Degree Program

School of Engineering

First Advisor

Christian Trefftz

Second Advisor

Zachary Kurmas

Academic Year

2020/2021

Abstract

Hermitian matrix multiplication is one of the most common actions that is performed on quantum matrices, for example, it is used to apply observables onto a given state vector/density matrix.

ρ→Hρ

Our goal is to create an algorithm to perform the matrix multiplication within the constraints of QuEST [1], a high-performance simulator for quantum circuits. QuEST provides a system-independent platform for implementing and simulating quantum algorithms without the need for access to quantum machines. The current implementation of QuEST supports CUDA, MPI, and OpenMP, which allows programs to run on a wide variety of systems.

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