Accelerating an adiabatic process by nonlinear sweeping
classification
🪐 quant-ph
keywords
adiabaticsweepingaccelerationmodelprocessregionacceleratingcomputing
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We investigate the acceleration of an adiabatic process with the same survival probability of the ground state by sweeping a parameter nonlinearly, fast in the wide gap region and slow in the narrow gap region, as contrast to the usual linear sweeping. We find the expected acceleration in the Laudau-Zener tunneling model and in the adiabatic quantum computing model for factorizing the number N=21.
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