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- W2796760283 abstract "We present an efficient numerical method for the optimization of experimentally tunable parameters in (quasi-)one-dimensional wires. Our approach is based on an analogy between the Gradient Ascent Pulse Engineering (GRAPE) algorithm used in quantum control and the Recursive Green's Function (RGF) method employed in quantum transport. As an application, we optimize electrostatic gate voltage profiles and magnetic field textures for the creation and protection of topological superconductivity in quantum wires. The optimization operates on a largely unexplored parameter space and identifies new parameter regimes for the emergence of robust Majorana bound states." @default.
- W2796760283 created "2018-04-24" @default.
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- W2796760283 date "2018-04-09" @default.
- W2796760283 modified "2023-09-27" @default.
- W2796760283 title "Efficient algorithm for real-space parameter optimization in Majorana wires" @default.
- W2796760283 hasPublicationYear "2018" @default.
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