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dc.contributor.advisorIsaac Chuang, Jeremy Sage, and John Chiaverini.en_US
dc.contributor.authorGreene, Amy (Machine learning scientist) (Amy L.)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2016-12-22T15:18:43Z
dc.date.available2016-12-22T15:18:43Z
dc.date.copyright2016en_US
dc.date.issued2016en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/106017
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 95-98).en_US
dc.description.abstractTrapped ions are a promising candidate for the implementation of quantum information processing. Techniques have already been developed for working with small systems of trapped-ion qubits; scalability is the biggest remaining challenge. One of the major scalability obstacles faced by trapped ions is an anomalous motional heating which limits the fidelity of two-qubit gates. It has been demonstrated that cleaning a gold trap chip via ion milling reduces the heating rate by two orders of magnitude [1]. However, it remains unclear why ion milling causes a much more dramatic improvement than similar cleaning techniques such as plasma cleaning, which only reduces the heating rate by a factor of 4 [2]. Understanding this difference will provide insight into the source of the anomalous heating noise. In this work, we investigate the mechanism by which ion milling reduces the heating rate by cleaning niobium traps with a ex-situ ion milling followed by plasma cleaning. We find that the resulting reduction in the heating rate is consistent with that obtained from plasma cleaning alone. This, combined with a recent result from the ex-situ milling of gold traps [3], suggests that some component of the improvement mechanism is material-based. Additionally, we present our work on the design and testing of a small resonator board used to deliver a high RF voltage to the trap chip. This board, made with off-the-shelf components, represents a more scalable alternative to the helical resonators which are commonly used for this purpose.en_US
dc.description.statementofresponsibilityby Amy Greene.en_US
dc.format.extent98 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleExperiments towards mitigation of motional heating in trapped ion quantum information processingen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc965829375en_US


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