Ground state preparation is classically intractable for general Hamiltonians.
On quantum devices, shallow parameterized circuits can be effectively trained
to obtain short-range entangled states under the paradigm of variational
quantum eigensolver, while deep circuits are generally untrainable due to the
barren plateau phenomenon. In this Letter, we give a general lower bound on the
variance of circuit gradients for arbitrary quantum circuits composed of local
2-designs. Based on our unified framework, we prove the absence of barren
plateaus in training finite local-depth circuits for the ground states of local
Hamiltonians. These circuits are allowed to be deep in the conventional
definition of circuit depth so that they can generate long-range entanglement,
but their local depths are finite, i.e., there is only a finite number of
non-commuting gates acting on individual qubits. This fact suggests that
long-range entangled ground states, such as topologically ordered states, are
in general possible to be prepared efficiently on quantum devices via
variational methods. We validate our analytical results with extensive
numerical simulations and demonstrate the effectiveness of variational training
using the generalized toric code model.Comment: 28 pages, 7 figure