Nature Physics, Published online: 09 July 2024; doi:10.1038/s41567-024-02531-y
Nonlinearity is crucial for sophisticated tasks in machine learning but is often difficult to engineer outside of electronics. By encoding the inputs in parameters of the system, linear systems can realize efficiently trainable nonlinear computations.
