First Advisor

Xiaoyu Song

Term of Graduation

Winter 2023

Date of Publication

3-3-2023

Document Type

Dissertation

Degree Name

Doctor of Philosophy (Ph.D.) in Electrical and Computer Engineering

Department

Electrical and Computer Engineering

Language

English

Subjects

Logic circuits -- Design and construction, Quantum computing, Memristors, Decomposition (Mathematics), Graph coloring

DOI

10.15760/etd.8193

Physical Description

1 online resource (xii, 155 pages)

Abstract

The complexity and diversity of modern computing challenges have made it difficult for traditional computers to efficiently handle tasks such as computer-aided design, design optimization, and combinatorial problems within a reasonable time frame. In applications such as bitcoin mining and robotic control, power consumption and circuit size are critical factors. To overcome these limitations, this dissertation examines alternative computing technologies such as quantum computers and hybrid memristive circuits. The research demonstrates that these technologies hold the potential to offer more efficient and effective solutions for particular problems, whether in terms of faster computation or reduced power consumption.

Rights

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Persistent Identifier

https://archives.pdx.edu/ds/psu/39796

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