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dc.contributor.advisorChuang, Isaac L.
dc.contributor.authorMcCourt, Trevor Johnathan
dc.date.accessioned2023-11-02T20:15:25Z
dc.date.available2023-11-02T20:15:25Z
dc.date.issued2023-09
dc.date.submitted2023-09-21T14:26:29.803Z
dc.identifier.urihttps://hdl.handle.net/1721.1/152776
dc.description.abstractIn stark contrast to man-made systems, living things embrace noise and use it to further their functionality. It is therefore not surprising that some lifeforms couple strongly to environmental fluctuations, and can leverage non-Gaussian noise to gain a competitive edge over their peers. In this thesis, I study non-Gaussian fluctuations using a system of Transmon qubits as ultra-sensitive quantum sensors and make the first clear experimental observation of non-Gaussian noise in a qubit system. I achieve this using multi-qubit dynamical decoupling sequences that characterize noise during two-qubit gates when the system is coupled strongly to flux fluctuations. This noise is qualitatively different from the well-studied noise that leads to single qubit dephasing; it simultaneously affects the two qubits, inducing fluctuations in their entangling parameter. In our superconducting system, the experimentally observed noise is consistent with random telegraph noise and leads to the stepwise decay of signals. With this clear characterization of non-Gaussian noise in hand, we have paved the way for a new class of lifelike engineered systems that harness noise to their benefit.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleNon-Gaussian Noise in Superconducting Circuits
dc.typeThesis
dc.description.degreeS.M.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
mit.thesis.degreeMaster
thesis.degree.nameMaster of Science in Electrical Engineering and Computer Science


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