Solid-state quantum simulators skip hand fitting: an autoencoder reads effective Hamiltonians from transport data
Effective Hamiltonian parameters of solid-state quantum simulators can now be inferred directly from transport measurements, without labeled Hamiltonian parameters. The approach embeds the S-matrix formalism, which describes scattering, into an autoencoder decoder so the network can only output physically meaningful parameters. In numerical experiments on a triple quantum dot chain, the model accurately infers parameters and generalizes beyond the training domain while staying robust to noisy measurements; its capacity is finite as the parameter space grows broader or more diverse.