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Programmable nanophotonics for quantum information processing and artificial intelligence

Author(s)
Harris, Nicholas Christopher
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Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Dirk R. Englund.
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MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582
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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.
 
Date issued
2017
URI
http://hdl.handle.net/1721.1/114001
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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