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A scalable quantum computation platform : solid state quantum memories coupled to photonic integrated circuits

Author(s)
Mouradian, Sara L. (Sara Lambert)
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Alternative title
Solid state quantum memories coupled to photonic integrated circuits
Other Contributors
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
Quantum computation and communication systems exploit quantum mechanical effects to surpass their classical counterparts in certain applications. However, while proof-of-principle experimental demonstrations have been performed, these are limited to a handful of nodes with limited - and often immutable - connectivity. Here we demonstrate an integrated platform for solid state quantum information processing. Pre-characterized solid state quantum nodes (nitrogen vacancy centers in diamond nanophotonic structures) are placed into a photonic integrated circuit which allows for low-loss and phase-stable collection, routing, and detection of photons as well as on-chip state manipulation and classical control. Moreover, the fabrication of high-quality photonic resonators in diamond allows for the increased emission and collection rates of photons coherent with the spin state. These two advances promise an on-chip entanglement rate much larger than the decoherence rate, allowing the creation and maintenance of cluster states for quantum computation.
Description
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
 
Cataloged from PDF version of thesis.
 
Includes bibliographical references (pages 93-107).
 
Date issued
2018
URI
http://hdl.handle.net/1721.1/118096
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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