hamiltonians

AI-Enhanced Neural Network Auto-Tunes Quantum Dot Simulators for Majorana Mode Discovery

Researchers propose a neural network-based model that learns the landscape of quantum dot simulators and autotunes them toward Majorana modes. The deep vision-transformer network, trained on synthetic conductance maps with a physics-informed loss, can drive a quantum dot chain to a topological phase in a single update step from a broad range of initial detunings.