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dc.contributor.advisorIsaac L. Chuang.en_US
dc.contributor.authorWang, Shannon Xuanyueen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Physics.en_US
dc.date.accessioned2013-03-01T15:28:06Z
dc.date.available2013-03-01T15:28:06Z
dc.date.copyright2012en_US
dc.date.issued2012en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/77542
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Physics, 2012.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 203-218).en_US
dc.description.abstractQuantum information science promises a host of new and useful applications in communication, simulation, and computational algorithms. Trapped atomic ions are one of the leading physical systems with potential to implement a large-scale quantum information system, but many challenges still remain. This thesis describes some experimental approaches to address several such challenges broadly organized under three themes: gates, sensors, and systems. Quantum logic gates are the fundamental building blocks for quantum algorithms. Although they have been demonstrated with trapped ions previously, scalability requires miniaturizing ion traps by using a surface-electrode geometry. Using a single ion in a surface-electrode trap, we perform a two-qubit entangling gate and fully characterize it via quantum process tomography, as an initial validation of surface-electrode ion traps for quantum information processing. Good logic gates are often good sensors for fast fluctuations and energy changes in their environment. Trapped ions are sensitive to fluctuating and static charges, leading to motional state decoherence (heating) and instabilities, problems exacerbated by the surface-electrode geometry. We investigate the material dependence of heating, specifically with aluminum and superconducting traps, to elucidate the physical origin of these fluctuating charges. Static charging is hypothesized to be caused by the trapping and cooling lasers due to the photoelectric effect. We perform systematic experiments with aluminum, gold, and copper traps with lasers at various wavelengths to validate this hypothesis. Realizing quantum processors at the system level requires models and tools for predicting system performance, demonstration of good classical and quantum control, and techniques for integrating different quantum systems. We develop a modeling system for trapped ion quantum computing experiments and simulate the effect of physical and technical noise sources on practical realizations of quantum algorithms in a trapped ion system. We experimentally demonstrate several such algorithms, including the quantum Fourier transform, order-finding, and Shor's algorithm on up to 5 ions. These experiments highlight several unique advantages of ion trap systems and help identify needs for further development. Finally, we explore the integration of ion traps with optical elements including mirrors and photon detectors as key elements in creating future hybrid quantum systems.en_US
dc.description.statementofresponsibilityby Shannon Xuanyue Wang.en_US
dc.format.extent218 p.en_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.subjectPhysics.en_US
dc.titleQuantum gates, sensors, and systems with trapped ionsen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physics
dc.identifier.oclc827336075en_US


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