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Geometric Phase in Quantum Computation

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dc.contributor.advisor Tian, Ming Thomas, JT
dc.creator Thomas, JT 2016-09-28T10:23:07Z 2016-09-28T10:23:07Z 2016
dc.description.abstract A fundamental challenge of quantum computation is being able to scale up a large number of high fidelity quantum gates while noise and error are affecting the gate’s physical control parameters. This dissertation focuses on the fidelity of single-qubit quantum gates constructed by a change in quantum geometric phase, while the control parameters are affected by random noise and systematic error. A unified model of geometric quantum computation is developed, in which a qubit state is controlled by a composite Hamiltonian, resulting in a multiple-segment rotation of the quantum state and allowing characterization of evolution paths depending on the associated geometric and dynamic phase. The fidelity of the quantum gates in the presence of different noise error is compared for pu rely geometric, hybrid (having both geometric and dynamic phase), and conventional dynamic quantum gates built on single Hamiltonians. Results showed hybrid quantum gates had the highest fidelities, followed by geometric gates, and conventional dynamic gates had the lowest fidelities. In addition, there was indication in some cases higher fidelities result from gates created from a larger number of segments in the quantum state rotation. These results can be understood by the relation of the control parameters with the evolution path geometry. By translating between control parameters, our model can be applied to different systems for quantum computation, including: the laser manipulation of a two-level atom, laser manipulation of trapped ions, nuclear magnetic resonance, polarization states of photons, superconducting qubits in cavity QED, and quantum dots.
dc.format.extent 146 pages
dc.language.iso en
dc.rights Copyright 2016 JT Thomas
dc.subject Physics en_US
dc.subject geometric phase en_US
dc.subject quantum computers en_US
dc.title Geometric Phase in Quantum Computation
dc.type Dissertation Ph.D. Physics George Mason University

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