Learning SYK Hamiltonians
The research tackles learning dense Sachdev–Ye–Kitaev (SYK) Hamiltonians from statistical samples of its Gibbs state. The key finding is that exploiting the model's random mean-field structure allows for learning the full Hamiltonian to inversepolynomial accuracy using only polynomially many samples at constant temperature.