Scientific note

Large Scale Optimization of Disordered Hubbard Models through Tensor and Neural Networks

We theoretically demonstrate a practical method for tuning randomly disordered 2D quantum-dot grids underlying spin qubit platforms using vision-based neural networks trained on tensor-network generated charge-stability data.