Experiments towards mitigation of motional heating in trapped ion quantum information processing
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2016
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| Online Access: | http://hdl.handle.net/1721.1/106017 |
| _version_ | 1811078230794305536 |
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| author | Greene, Amy (Machine learning scientist) (Amy L.) |
| author2 | Isaac Chuang, Jeremy Sage, and John Chiaverini. |
| author_facet | Isaac Chuang, Jeremy Sage, and John Chiaverini. Greene, Amy (Machine learning scientist) (Amy L.) |
| author_sort | Greene, Amy (Machine learning scientist) (Amy L.) |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. |
| first_indexed | 2024-09-23T10:56:10Z |
| format | Thesis |
| id | mit-1721.1/106017 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T10:56:10Z |
| publishDate | 2016 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1060172023-09-06T11:48:44Z Experiments towards mitigation of motional heating in trapped ion quantum information processing Greene, Amy (Machine learning scientist) (Amy L.) Isaac Chuang, Jeremy Sage, and John Chiaverini. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 95-98). Trapped 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. by Amy Greene. M. Eng. 2016-12-22T15:18:43Z 2016-12-22T15:18:43Z 2016 2016 Thesis http://hdl.handle.net/1721.1/106017 965829375 eng M.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. http://dspace.mit.edu/handle/1721.1/7582 98 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Greene, Amy (Machine learning scientist) (Amy L.) Experiments towards mitigation of motional heating in trapped ion quantum information processing |
| title | Experiments towards mitigation of motional heating in trapped ion quantum information processing |
| title_full | Experiments towards mitigation of motional heating in trapped ion quantum information processing |
| title_fullStr | Experiments towards mitigation of motional heating in trapped ion quantum information processing |
| title_full_unstemmed | Experiments towards mitigation of motional heating in trapped ion quantum information processing |
| title_short | Experiments towards mitigation of motional heating in trapped ion quantum information processing |
| title_sort | experiments towards mitigation of motional heating in trapped ion quantum information processing |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/106017 |
| work_keys_str_mv | AT greeneamymachinelearningscientistamyl experimentstowardsmitigationofmotionalheatingintrappedionquantuminformationprocessing |