Portland State University. Department of Electrical and Computer Engineering
Term of Graduation
Date of Publication
Doctor of Philosophy (Ph.D.) in Electrical and Computer Engineering
Electrical and Computer Engineering
Quantum computers, Computer algorithms, Mathematical optimization, Graph theory
1 online resource (xi, 150 pages)
Quantum computing has become an important research field of computer science and engineering. Among many quantum algorithms, Grover's algorithm is one of the most famous ones. Designing an effective quantum oracle poses a challenging conundrum in circuit and system-level design for practical application realization of Grover's algorithm.
In this dissertation, we present a new method to build quantum oracles for Grover's algorithm to solve graph theory problems. We explore generalized Boolean symmetric functions with lattice diagrams to develop a low quantum cost and area efficient quantum oracle. We study two graph theory problems: cycle detection of undirected graphs and generalized hypercube partitioning. We present a novel method to design a quantum oracle to solve Boolean function minimization problems which occur in classical circuit optimization.
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Gao, Peng, "Quantum Grover's Oracles with Symmetry Boolean Functions" (2021). Dissertations and Theses. Paper 5750.