Programmable nanophotonics for quantum information processing and artificial intelligence
Name
1023811020-MIT.pdf
Description
Full printable version
Size
19.42 MB
Format
Adobe PDF
Checksum (MD5)
b33e1d917cb8b4b8a2c90a6cf2519a76
Author(s)
Harris, Nicholas Christopher
Advisor(s)
Dirk R. Englund.
Date Issued
2017
Publisher
Massachusetts Institute of Technology
Abstract
Over the past decade, progress in digital electronic computing systems has slowed as traditional, transistor-based silicon technologies approach their scaling limits. Quantum computing and non-Von Neumann computing architectures have emerged as promising alternatives for continued computational advancement-garnering significant investment and public interest. As a hardware platform, silicon photonics may play an important role in enabling quantum and classical information processing architectures. Here, I will discuss my thesis work on developing a programmable nanophotonic processor in silicon, as well as applications of this processor within the fields of quantum simulation, quantum computing, and deep learning. I will also cover results on environment-assisted quantum transport, deep learning with coherent nanophotonics, heralded single-photon sources, and highly integrable superconducting nanowire single-photon detectors.
Description
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references.
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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