Variational quantum computing schemes have received considerable attention due to their
high versatility and potential to make practical use of near-term quantum devices. At their
core, these models train a loss function by sending an initial state through a parametrized
quantum circuit, and evaluating the expectation value of some operator at the circuit's output.
Despite their promise, the trainablity of these algorithms is hindered by barren plateaus
induced by the expressiveness of the parametrized quantum circuit, the entanglement of the …