Protocol Discovery for the Quantum Control of Majoranas by Differentiable Programming and Natural Evolution Strategies
Luuk Coopmans, Di Luo, Graham Kells, Bryan K. Clark, Juan Carrasquilla
Abstract
Efficient machine learning approaches are exploited to optimize the transport of Majoranas in superconducting nanowires, opening up ways to achieve quantum control of realistic dynamical quantum many-body systems.
Topics & Concepts
MAJORANAComputer scienceQuantumJumpDifferentiable functionPhysicsTopology (electrical circuits)MathematicsQuantum mechanicsSuperconductivityMathematical analysisCombinatoricsTopological Materials and PhenomenaQuantum many-body systemsGraphene research and applications