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Massachusetts Institute of Technology

Experiments towards mitigation of motional heating in trapped ion quantum information processing

Abstract

dc:description.abstract

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.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Greene, Amy (Machine learning scientist) (Amy L.)
Advisor dc:contributor.advisor
  • Isaac Chuang, Jeremy Sage, and John Chiaverini.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/106017
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/106017

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Greene, Amy (Machine learning scientist) (Amy L.). Experiments towards mitigation of motional heating in trapped ion quantum information processing. Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106017