  Recent progress toward the fabrication of Majorana-based qubits has sparked
the need for systematic approaches to optimize experimentally relevant
parameters for the realization of robust Majorana bound states. Here, we
introduce an efficient numerical method for the real-space optimization of
tunable parameters, such as electrostatic potential profiles and magnetic field
textures, in Majorana wires. Combining ideas from quantum control and quantum
transport, our algorithm, applicable to any noninteracting tight-binding model,
operates on a largely unexplored parameter space and opens new routes for
Majorana bound states with enhanced robustness. Contrary to common belief, we
find that spatial inhomogeneities of parameters can be a resource for the
engineering of Majorana bound states.
