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dc.contributor.authorYousefabadi, Navid
dc.date.accessioned2011-12-16T19:54:47Z
dc.date.available2011-12-16T19:54:47Z
dc.date.issued2011-12-16
dc.identifier.urihttp://hdl.handle.net/10222/14381
dc.description.abstractShor’s algorithm shows that circuit-model quantum computers can factorize integers in polynomial time – exponentially more efficiently than classical computers. There is currently no analogous algorithm for Adiabatic Quantum Computers(AQCs). We illustrate through a number of factorization problems that a naive AQC implemen- tation fails to reveal an exponential speed up. An exponential speed up does become evident with the optimization of the AQC evolution path utilizing existing optimisa- tion approaches. We reduce the computation time even further by optimization over heuristically-derived parametrised functions. Finally, we improve our own results by exploring two-dimensional paths, and give arguments that using more dimensions in the search space can enhance the computational power to an even greater extent.en_US
dc.language.isoenen_US
dc.subjectAdiabatic Quantum Computingen_US
dc.titleOPTIMAL ANNEALING PATHS FOR ADIABATIC QUANTUM COMPUTATIONen_US
dc.date.defence2011-12-09
dc.contributor.departmentDepartment of Physics & Atmospheric Scienceen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.external-examinerAndrew D. Rutenbergen_US
dc.contributor.graduate-coordinatorRandall Martinen_US
dc.contributor.thesis-readerKimberley C. Hallen_US
dc.contributor.thesis-supervisorJordan Kyriakidisen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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