Sponsor
Portland State University. Department of Electrical and Computer Engineering
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
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
Recommended Citation
Li, Yiwei, "Design and Optimization with Quantum and Memristor Platforms" (2023). Dissertations and Theses. Paper 6339.
https://doi.org/10.15760/etd.8193